1,632 research outputs found
Hymenomonas uralensis Ignatenko & Yatsenko-Stepanova 2023, sp. nov.
No full text<i>Hymenomonas uralensis</i> Ignatenko & Yatsenko-Stepanova <i>sp. nov.</i> (Fig. 15) <p>Coccoliths are elliptical muroliths. Each coccoliths composed of an organic base plate and calcified elements. The base of the coccolith (0.93–1.2 × 0.8–0.96 µm, n=15) has a jagged edge, followed by a tubular part with more or less straight sides and the expanding part (1.3–1.6 × 0.97–1.3 µm) is formed by overlapping elements. The height of the coccolith is 0.36–0.51 µm, the width of the rim is 0.22–0.3 µm. In most coccoliths a single rim element at each end of the coccolith is extended distally as a rectangular block protruding above the rim (width 0.18–0.33 µm, height 0.25–0.43 µm).</p> <p> <b>Type:</b> —The specimen with <i>Hymenomonas uralensis</i> coccoliths on SEM stub number 49_I_3 deposited at the Herbarium of the Steppe Institute of the Ural Branch of the Russian Academy of Sciences, Orenburg (ORIS). Material from the Ural River (51°25ʼ55”N, 56°28ʼ58”E), Orenburg Region, Russia. Sample collected 27th of July, 2021, by M. Ignatenko.</p> <p> <b>Type Locality:</b> —RUSSIA: Orenburg region, Ural River. 51°25ʼ55”N, 56°28ʼ58”E. 27 July 2021.</p> <p> <b>Etymology:</b> — <i>Hymenomonas uralensis</i> is named after the Ural River, where this species was discovered.</p> <p> <b>Distribution:</b> —Besides the type locality this species was found from the backwater of the Ural River in the vicinity of the Nikolskoye village (see Table 2).</p>Published as part of <i>Ignatenko, Marina & Yatsenko-Stepanova, Tatyana, 2023, Coccolithophores in the algal flora from South Urals (Russia) with the description of a new Hymenomonas species, pp. 55-64 in Phytotaxa 609 (1)</i> on pages 60-61, DOI: 10.11646/phytotaxa.609.1.5, <a href="http://zenodo.org/record/8254620">http://zenodo.org/record/8254620</a>
Morphological variability of stomatocyst 131 Pang & Wang (Chrysophyceae) from a freshwater shallow lake in South Urals, Russia
No full textIgnatenko, Marina, Yatsenko-Stepanova, Tatyana, Kapustin, Dmitry (2022): Morphological variability of stomatocyst 131 Pang & Wang (Chrysophyceae) from a freshwater shallow lake in South Urals, Russia. Phytotaxa 542 (1): 100-104, DOI: 10.11646/phytotaxa.542.1.10, URL: http://dx.doi.org/10.11646/phytotaxa.542.1.1
Biometrics in claim-based authentication framework
No full textNowadays biometric authentication and identification becomes a part of every-day life. As a result, many services emerge that rely on biometric-based access control. However, from a user point of view, supplying biometric information to many different service providers imposes high privacy and security risks. In this paper we focus on the use of biometrics in a claimed-based authentication framework. The frameworks allows for a limited number of identity providers, thus overcoming the need to supply biometric data to multiple untrustworthy service provides. We argue that in this case we can deploy the information-theoretic framework for privacy-preserving biometric systems for joint authentication and identification studied in Willems and Ignatenko [2010]
Data repository for the article: "Classification of diffraction patterns using a convolutional neural network in single-particle-imaging experiments performed at X-ray free-electron lasers"
No full textData "data_corrected.zip" used in the paper (Assalauova, Ignatenko, Isensee et al., 2022) were described in (Li et al., 2020) and raw files were published on CXDI platform (https://www.cxidb.org/id-156.html). These data were preprocessed (background correction, center estimation) by S. Bobkov using SPI data analysis platform available in GitLab (https://gitlab.com/spi_xfel), the section “spi_processing” and described in (Bobkov et al., 2020). Procedures described in (Assalauova, Ignatenko, Isensee et al., 2022) are publicly available https://gitlab.hzdr.de/hi-dkfz/applied-computer-vision-lab/collaborations/desy_2021_singleparticleimaging_cnn.
File "final_200k_split_191183.pkl" contains the train:test split and file "PaperConfigMaxF1.zip" contains pretrained weights. These two files are used with the code repository https://gitlab.hzdr.de/hi-dkfz/applied-computer-vision-lab/collaborations/desy_2021_singleparticleimaging_cnn.
Assalauova, D., Ignatenko, A., Isensee, F., et al. “Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers.” arXiv preprint arXiv:2112.09020.
Haoyuan, L., et al. ”Diffraction data from aerosolized Coliphage PR772 virus particles imaged with the Linac Coherent Light Source.” Scientific data 7.1 (2020): 1-12.
Bobkov, S. A., et al. “Advances in Modern Information Technologies for Data Analysis in CRYO-EM and XFEL Experiments.” Crystallography Reports 65.6 (2020): 1081-1092
Making America Great Again? The Economic Impacts of Liberation Day Tariffs
No full textOn April 2, 2025, President Trump declared “Liberation Day,” announcing broad tariffs to reduce trade deficits and revive U.S. industry. We analyze the long-term economic impacts of these tariffs. If trading partners do not retaliate, the tariffs could decrease the U.S. trade deficit and improve its terms of trade, yielding modest welfare gains when tariff revenues reduce the income tax burden for American workers. However, reciprocal retaliation results in net welfare losses for the U.S. economy. We derive the unilaterally optimal tariff policy and find that the USTR proposed tariffs, based on bilateral trade deficits, diverge markedly from the optimal design. The optimal tariff is 19%, uniformly applied across all trading partners, and determined solely by the aggregate trade deficit, rather than bilateral imbalances. Under optimal foreign retaliation to the USTR tariffs, U.S. welfare declines by up to 3.38% when accounting for input–output linkages, while global employment contracts by 0.58%
Privacy-leakage codes for biometric authentication systems
No full textIn biometric privacy-preserving authentication systems that are based on key-binding, two terminals observe two correlated biometric sequences. The first terminal selects a secret key, which is independent of the biometric data, binds this secret key to the observed biometric sequence and communicates it to the second terminal by sending a public message. This message should only contain a negligible amount of information about the secret key, but also leak as little as possible about the biometric data. Current approaches to realize such biometric systems use fuzzy commitment with codes that, given a secret-key rate, can only achieve the corresponding privacy-leakage rate equal to one minus this secret-key rate. However, the results in Willems and Ignatenko [2009] indicate that lower privacy leakage can be achieved if vector quantization is used at the encoder. In this paper we study the use of convolutional and turbo codes applied in fuzzy commitment and its modifications that realize this
Analyzing the influence of hyper-parameters and regularizers of topic modeling in terms of Renyi entropy
No full textTopic modeling is a popular technique for clustering large collections of text documents. A variety of different types of regularization is implemented in topic modeling. In this paper, we propose a novel approach for analyzing the influence of different regularization types on results of topic modeling. Based on Renyi entropy, this approach is inspired by the concepts from statistical physics, where an inferred topical structure of a collection can be considered an information statistical system residing in a non-equilibrium state. By testing our approach on four models—Probabilistic Latent Semantic Analysis (pLSA), Additive Regularization of Topic Models (BigARTM), Latent Dirichlet Allocation (LDA) with Gibbs sampling, LDA with variational inference (VLDA)—we, first of all, show that the minimum of Renyi entropy coincides with the “true” number of topics, as determined in two labelled collections. Simultaneously, we find that Hierarchical Dirichlet Process (HDP) model as a well-known approach for topic number optimization fails to detect such optimum. Next, we demonstrate that large values of the regularization coefficient in BigARTM significantly shift the minimum of entropy from the topic number optimum, which effect is not observed for hyper-parameters in LDA with Gibbs sampling. We conclude that regularization may introduce unpredictable distortions into topic models that need further research
Analysis of the impact of ROS in networks describing neurodegenerative diseases
No full textIn the current thesis the model of the ROS management network is built using the domino principle. The model offers insight into the design principles underlying the ROS management network and enlightens its functionality in the diseases such as cancer and Parkinson’s disease (PD). It is validated using experimental data. The model is used for in silico study of the ROS management dynamics under the stress conditions (oxidative stress). This highlights the phenomena of both adaptation to stress and the stress accumulation effect in case of repeated stress. This study also helps to discover the potential ways to a personalized treatment of the insufficient ROS management. The different ways of a control of the ROS management network are shown using the optimal control approach. Obtained results could be used for a seeking of the treatment strategies to fix the ROS management failures caused by an oxidative stress, neurodegenerative diseases, etc. Or, in vice versa, to develop the ways of a controllable cell death that might be used in
cancer research
Hymenomonas roseola F. Stein 1878
No full textHymenomonas roseola F. Stein (Figs. 2–4) Coccolith is bowl-shape (murolith), with more or less straight sides. The funnel-shaped part of the coccolith expands towards the top and has a jagged edge. The number of calcite “teeth” (crystal units) of coccoliths belonging to single cell varies from 11 to 15. The height of coccoliths in the discovered specimens varies within 0.50–1.12 µm; the height of the base and the height of the funnel are approximately the same. This species was observed in Ural River and Ushkotinsky Reservoir (see Table 2).Published as part of Ignatenko, Marina & Yatsenko-Stepanova, Tatyana, 2023, Coccolithophores in the algal flora from South Urals (Russia) with the description of a new Hymenomonas species, pp. 55-64 in Phytotaxa 609 (1) on page 57, DOI: 10.11646/phytotaxa.609.1.5, http://zenodo.org/record/825462
Chrysotila roscoffensis R. A. Andersen, J. I. Kim, Tittley & H. S. Yoon 2015
No full text<i>Chrysotila roscoffensis</i> (P.A. Dangeard) R.A. Andersen, J.I. Kim, Tittley & H.S. Yoon (Figs. 10–14) <p> ≡ <i>Pleurochrysis roscoffensis</i> (P.A. Dangeard) Fresnel & Billard (1991: 77)</p> <p>A disc-shaped coccolith (placolith), that consists of a central vertical tube bounded on each side by shield, there are small nodes on the distal shield of the placolith and within the tube, extending into the central area; 2.46–2.85 × 1.74–1.98 µm in size.</p> <p>This species was recorded from Zhetykol Lake and Aschisaysky Рond (see Table 2).</p> <p> In this study, we found coccoliths in freshwater (Fig. 15), which we could not correlate with any of the described species. We described their as <i>Hymenomonas uralensis sp. nov.</i></p>Published as part of <i>Ignatenko, Marina & Yatsenko-Stepanova, Tatyana, 2023, Coccolithophores in the algal flora from South Urals (Russia) with the description of a new Hymenomonas species, pp. 55-64 in Phytotaxa 609 (1)</i> on page 60, DOI: 10.11646/phytotaxa.609.1.5, <a href="http://zenodo.org/record/8254620">http://zenodo.org/record/8254620</a>
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