TY  - JOUR
A1  - Akimbekov, Nuraly S.
A1  - Digel, Ilya
A1  - Tastambek, Kuanysh T.
A1  - Marat, Adel K.
A1  - Turaliyeva, Moldir A.
A1  - Kaiyrmanova, Gulzhan K.
T1  - Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production
JF  - Biology
N2  - It was generally believed that coal sources are not favorable as live-in habitats for microorganisms due to their recalcitrant chemical nature and negligible decomposition. However, accumulating evidence has revealed the presence of diverse microbial groups in coal environments and their significant metabolic role in coal biogeochemical dynamics and ecosystem functioning. The high oxygen content, organic fractions, and lignin-like structures of lower-rank coals may provide effective means for microbial attack, still representing a greatly unexplored frontier in microbiology. Coal degradation/conversion technology by native bacterial and fungal species has great potential in agricultural development, chemical industry production, and environmental rehabilitation. Furthermore, native microalgal species can offer a sustainable energy source and an excellent bioremediation strategy applicable to coal spill/seam waters. Additionally, the measures of the fate of the microbial community would serve as an indicator of restoration progress on post-coal-mining sites. This review puts forward a comprehensive vision of coal biodegradation and bioprocessing by microorganisms native to coal environments for determining their biotechnological potential and possible applications.
Y1  - 2022
U6  - https://doi.org/10.3390/biology11091306
SN  - 2079-7737
N1  - This article belongs to the Special Issue "Microbial Ecology and Evolution in Extreme Environments"
VL  - 11
IS  - 9
PB  - MDPI
CY  - Basel
ER  - 
TY  - CHAP
A1  - Osterhage, Hannes
A1  - Bialonski, Stephan
A1  - Staniek, Matthäus
A1  - Schindler, Kaspar
A1  - Wagner, Tobias
A1  - Elger, Christian E.
A1  - Lehnertz, Klaus
T1  - Bivariate and multivariate time series analysis techniques and their potential impact for seizure prediction
T2  - Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications
Y1  - 2008
SN  - 978-3-527-62519-2
U6  - https://doi.org/10.1002/9783527625192.ch15
SP  - 189
EP  - 208
PB  - Wiley-VCH
CY  - Weinheim
ER  - 
TY  - JOUR
A1  - Müller-Veggian, Mattea
A1  - Gono, Y.
A1  - Lieder, R. M.
T1  - Blocking effect in the transitional nuclei ¹⁸⁹,¹⁹¹,¹⁹³ Au
JF  - Physical review letters
Y1  - 1976
SN  - 1079-7114
U6  - https://doi.org/10.1103/PhysRevLett.37.1123
VL  - 37
IS  - 17
SP  - 1123
EP  - 1125
PB  - American Physical Society
CY  - Ridge, NY
ER  - 
TY  - JOUR
A1  - Müller-Veggian, Mattea
A1  - Gono, Y.
A1  - Lieder, R. M.
T1  - Blocking-effect in the transitional nuclei ¹⁸⁹,¹⁹¹,¹⁹³ Au
JF  - Annual report 1976 / Institut für Kernphysik Kernforschungsanlage Jülich / Ed. board: A. Fäßler ...
Y1  - 1977
SP  - 33
PB  - Kernforschungsanlage
CY  - Jülich
ER  - 
TY  - JOUR
A1  - Digel, Ilya
A1  - Maggakis-Kelemen, Christina
A1  - Zerlin, Kay
A1  - Linder, Peter
T1  - Body temperature-related structural transitions of monotremal and human hemoglobin
JF  - Biophysical Journal. 91 (2006), H. 8
Y1  - 2006
SN  - 1542-0086
SP  - 3014
EP  - 3021
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
T1  - Bootstrap Approximation of Nearest Neighbor Regression Function Estimates
JF  - Journal of Multivariate Analysis. 32 (1990), H. 2
Y1  - 1990
SN  - 0047-259X
SP  - 213
EP  - 229
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
A1  - Ghorai, J. K.
T1  - Bootstrap Approximation with Censored Data under the Proportional Hazard Model
JF  - Communications in Statistics: Theory and Methods. 19 (1990), H. 2
Y1  - 1990
SN  - 0361-0926
SP  - 573
EP  - 581
ER  - 
TY  - JOUR
A1  - Dikta, Gerhard
A1  - Kvesic, Marsel
A1  - Schmidt, Christian
T1  - Bootstrap Approximations in Model Checks for Binary Data
JF  - Journal of the American Statistical Association. 101 (2006), H. 474
Y1  - 2006
SN  - 0162-1459
SP  - 521
EP  - 530
ER  - 
TY  - BOOK
A1  - Dikta, Gerhard
A1  - Scheer, Marsel
T1  - Bootstrap Methods: With Applications in R
N2  - This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time.

The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
Y1  - 2021
SN  - 978-3-030-73480-0
U6  - https://doi.org/10.1007/978-3-030-73480-0
PB  - Springer
CY  - Cham
ER  - 
TY  - JOUR
A1  - Ackermann, Hans-Josef
A1  - Jäger, Michael
A1  - Osterfeld, Utz
A1  - Hornung, Christoph
T1  - Building a Multimedia ISDN PC / Jäger, Michael ; Osterfeld, Utz ; Ackermann,  Hans-Josef ; Hornung, Christoph
JF  - Institute of Electrical and Electronics Engineers: IEEE computer graphics and applications. 13 (1993), H. 5
Y1  - 1993
SN  - 0272-1716
SP  - 24
EP  - 33
ER  -