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![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 17 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 24 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 6 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 12 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 20 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 4 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 8 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 15 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 14 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 13 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 14 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 15 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 14 (1 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 12 (0 UL)![]() ; Aho, Velma ![]() ![]() E-print/Working paper (2022) Patients with Parkinson’s disease (PD) exhibit differences in their gut microbiomes compared to healthy individuals. Although differences have most commonly been described in the abundances of bacterial ... [more ▼] Patients with Parkinson’s disease (PD) exhibit differences in their gut microbiomes compared to healthy individuals. Although differences have most commonly been described in the abundances of bacterial taxa, changes to viral and archaeal populations have also been observed. Mechanistic links between gut microbes and PD pathogenesis remain elusive but could involve molecules that promote α-synuclein aggregation. Here, we show that 2-hydroxypyridine (2-HP) represents a key molecule for the pathogenesis of PD. We observe significantly elevated 2-HP levels in faecal samples from patients with PD or its prodrome, idiopathic REM sleep behaviour disorder (iRBD), compared to healthy controls. 2-HP is correlated with the archaeal species Methanobrevibacter smithii and with genes involved in methane metabolism, and it is detectable in isolate cultures of M. smithii. We demonstrate that 2-HP is selectively toxic to transgenic α-synuclein overexpressing yeast and increases α-synuclein aggregation in a yeast model as well as in human induced pluripotent stem cell derived enteric neurons. It also exacerbates PD-related motor symptoms, α-synuclein aggregation, and striatal degeneration when injected intrastriatally in transgenic mice overexpressing human α-synuclein. Our results highlight the effect of an archaeal molecule in relation to the gut-brain axis, which is critical for the diagnosis, prognosis, and treatment of PD. [less ▲] Detailed reference viewed: 188 (14 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 5 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 16 (0 UL)![]() ; ; et al E-print/Working paper (2022) Named entity recognition (NER) is an essential task in natural language processing, but the internal mechanism of most NER models is a black box for users. In some high-stake decision-making areas ... [more ▼] Named entity recognition (NER) is an essential task in natural language processing, but the internal mechanism of most NER models is a black box for users. In some high-stake decision-making areas, improving the interpretability of an NER method is crucial but challenging. In this paper, based on the existing Deterministic Talmudic Public announcement logic (TPK) model, we propose a novel binary tree model (called BTPK) and apply it to two widely used Bi-RNNs to obtain BTPK-based interpretable ones. Then, we design a counterfactual verification module to verify the BTPK-based learning method. Experimental results on three public datasets show that the BTPK-based learning outperform two classical Bi-RNNs with self-attention, especially on small, simple data and relatively large, complex data. Moreover, the counterfactual verification demonstrates that the explanations provided by the BTPK-based learning method are reasonable and accurate in NER tasks. Besides, the logical reasoning based on BTPK shows how Bi-RNNs handle NER tasks, with different distance of public announcements on long and complex sequences. [less ▲] Detailed reference viewed: 20 (0 UL)![]() Helfer, Malte ![]() Learning material (2022) Detailed reference viewed: 8 (1 UL) |
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