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Quantum indistinguishability: Spin-statistics without relativity or field theory?
AIP Conf. Proc. 545, 3–15 (2000)
https://doi.org/10.1063/1.1337708
Inner composition law of pure-spin states
AIP Conf. Proc. 545, 92–97 (2000)
https://doi.org/10.1063/1.1337718
Boson-fermion realization of Lie algebras and dynamical supersymmetry in fermion systems
AIP Conf. Proc. 545, 190–196 (2000)
https://doi.org/10.1063/1.1337728
Quantum field theory on noncommutative space-time and its implication on spin-statistics theorem
AIP Conf. Proc. 545, 219–224 (2000)
https://doi.org/10.1063/1.1337731
How we know that photons are bosons: Experimental tests of spin-statistics for photons
AIP Conf. Proc. 545, 227–340 (2000)
https://doi.org/10.1063/1.1337732
Testing the symmetrization postulate and the spin-statistics connection for nuclei by molecular spectroscopy
AIP Conf. Proc. 545, 260–273 (2000)
https://doi.org/10.1063/1.1337735
The Pauli principle and ultrahigh resolution spectroscopy of polyatomic molecules
AIP Conf. Proc. 545, 274–280 (2000)
https://doi.org/10.1063/1.1337736
Towards an improved test of Bose-Einstein statistics for photons
AIP Conf. Proc. 545, 281–287 (2000)
https://doi.org/10.1063/1.1337737
Testing the Pauli Exclusion Principle with accelerator mass spectrometry
D. Javorsek, II; M. Bourgeois; D. Elmore; E. Fischbach; D. Hillegonds; J. Marder; T. Miller; H. Rohrs; M. Stohler; S. Vogt
AIP Conf. Proc. 545, 288–294 (2000)
https://doi.org/10.1063/1.1337738
Spectroscopic tests of the symmetrization postulate and of the statistics for nuclei in molecules
Giovanni Modugno; Davide Mazzotti; Michele Modugno; Nathalie Picqué; Giovanni Giusfredi; Pablo Cancio Pastor; Paolo De Natale; Massimo Inguscio
AIP Conf. Proc. 545, 295–301 (2000)
https://doi.org/10.1063/1.1337739
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
With synthetic data towards part recognition generalized beyond the training instances
Paul Koch, Marian Schlüter, et al.