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Meth-Addict Fish, Aggro Starlings: How Human Drugs Are Harming Animals – Mother Jones
https://www.motherjones.com/environment/2024/06/prescription-drugs-water-contamination-effects-animals-fish/

Meth-addict fish, aggro starlings: How human drugs are harming animals
Researchers are observing addiction, anxiety, and sex reversal as our substances contaminate ecosystems.

Tenhle díl „Dvacet let v Bruselu” od Přepište dějiny je moc pěkný
https://podcasters.spotify.com/pod/show/prepistedejiny/episodes/Dvacet-let-v-Bruselu-e2kuqf7/a-abc4a0t

Dvacet let v Bruselu by Přepište dějiny
Před dvaceti lety ČR vstoupila do EU a v rámci oslav tohoto výročí přímo v Bruselu vystoupil na jaře podcast Přepište dějiny a probral to, jaký vztah k Evropě Češi a Moravané měli a mají. Schválně, kolik lidí v sále znalo jméno Richard Mikuláš Coudenhove-Kalergi? Bonusovou verzi nyní dáváme k dispozici také veřejně. Použité zvuky: Vstup ČR do Evropské unie reportáž (EU) TV NOVA 30.4.2004 (YouTube, 17. 5. 2013), ČT 1 - Referendum o vstupu do EU - 14.6.200…

Predicting the Understandability of Computational Notebooks through Code Metrics Analysis
Mojtaba Mostafavi Ghahfarokhi, Alireza Asadi, Arash Asgari, Bardia Mohammadi, Masih Beigi Rizi, Abbas Heydarnoori
https://arxiv.org/abs/2406.10989

This https://arxiv.org/abs/2406.09851 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Large deviations for the largest singular value of sparse non-Hermitian matrices
We prove a large deviation principle for the largest singular value of sparse non-Hermitian random matrices, or directed Erdős-Rényi networks in the constant average degree regime $p =\frac{d}{n}$ where $d$ is fixed. Entries are assumed to have Weibull distributions with tail decaying at rate $e^{-t^α}$ for $α>0$. While the law of large number results agree with the largest eigenvalue of sparse Hermitian matrices given in (Ganguly and Nam, '22) and (Ganguly, Hiesmayr and Nam, '22), large de…

Predicting the Understandability of Computational Notebooks through Code Metrics Analysis
Mojtaba Mostafavi Ghahfarokhi, Alireza Asadi, Arash Asgari, Bardia Mohammadi, Masih Beigi Rizi, Abbas Heydarnoori
https://arxiv.org/abs/2406.10989

LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
Zheshu Song, Jianheng Zhuo, Yifan Yang, Ziyang Ma, Shixiong Zhang, Xie Chen
https://arxiv.org/abs/2406.06619

LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
Recent years have witnessed significant progress in multilingual automatic speech recognition (ASR), driven by the emergence of end-to-end (E2E) models and the scaling of multilingual datasets. Despite that, two main challenges persist in multilingual ASR: language interference and the incorporation of new languages without degrading the performance of the existing ones. This paper proposes LoRA-Whisper, which incorporates LoRA matrix into Whisper for multilingual ASR, effectively mitigating la…

This https://arxiv.org/abs/2406.09851 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Large deviations for the largest singular value of sparse non-Hermitian matrices
We prove a large deviation principle for the largest singular value of sparse non-Hermitian random matrices, or directed Erdős-Rényi networks in the constant average degree regime $p =\frac{d}{n}$ where $d$ is fixed. Entries are assumed to have Weibull distributions with tail decaying at rate $e^{-t^α}$ for $α>0$. While the law of large number results agree with the largest eigenvalue of sparse Hermitian matrices given in (Ganguly and Nam, '22) and (Ganguly, Hiesmayr and Nam, '22), large de…

Large deviations for the largest singular value of sparse non-Hermitian matrices
Hyungwon Han
https://arxiv.org/abs/2406.09851 https://

Large deviations for the largest singular value of sparse non-Hermitian matrices
We prove a large deviation principle for the largest singular value of sparse non-Hermitian random matrices, or directed Erdős-Rényi networks in the constant average degree regime $p =\frac{d}{n}$ where $d$ is fixed. Entries are assumed to have Weibull distributions with tail decaying at rate $e^{-t^α}$ for $α>0$. While the law of large number results agree with the largest eigenvalue of sparse Hermitian matrices given in (Ganguly and Nam, '22) and (Ganguly, Hiesmayr and Nam, '22), large de…