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  • 2020-2024  (22)
  • 1
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Cytology. ; Biomathematics. ; Biophysics. ; Cell Biology. ; Mathematical and Computational Biology. ; Biophysics.
    Description / Table of Contents: Chapter 1. Introduction -- Chapter 2.Cell center model -- Chapter 3.Applications of the cell center model -- Chapter 4. Vertex mode -- Chapter 5.Applications of the cell models to 2D cell patterns -- Chapter 6.3D vertex model -- Chapter 7.The world of epithelial sheets[7·1] -- Chapter 8.Cells themselves produce force for active remodeling -- Chapter 9.Expansion of shape-dimension -- Chapter 10.Mathematical cell models and morphogenesis.
    Abstract: This book describes the shape formation of living organisms using mathematical models. Genes are deeply related to the shape of living organisms, and elucidation of a pathway of shape formation from genes is one of the fundamental problems in biology. Mathematical cell models are indispensable tools to elucidate this problem. The book introduces two mathematical cell models, the cell center model and the vertex model, with their applications. The cell center model is applied to elucidate the formation of neat cell arrangements in epidermis, cell patterns consisting of heterogeneous-sized cells, capillary networks, and the branching patterns of blood vessels. The vertex model is applied to elucidate the wound healing mechanisms of the epithelium and ordered pattern formation involving apoptosis. Pattern formation with differential cell adhesion is also described. The vertex model is then extended from a two-dimensional (2D) to a three-dimensional (3D) model. A cell aggregate involving a large cavity is described to explain the development of the mammalian blastocyst or the formation of an epithelial vesicle. Epithelial tissues and the polarity formation process of the epithelium are also explained. The vertex model also recapitulates active remodeling of tissues and describes the twisting of tissue that contributes to understanding the cardiac loop formation of the embryonic tube. The book showcases that mathematical cell models are indispensable tools to understand the shape formation of living organisms. Successful contribution of the mathematical cell models means that the remodeling of collective cells is self-construction. Examining the successive iterations of self-constructions leads to understanding the remarkable and mysterious morphogenesis that occurs during the development of living organisms. The intended readers of this book are not only theoretical or mathematical biologists, but also experimental and general biologists, including undergraduate and postgraduate students who are interested in the relationship between genes and morphogenesis. .
    Type of Medium: Online Resource
    Pages: VIII, 192 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811929168
    Series Statement: Theoretical Biology,
    DDC: 571.6
    Language: English
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  • 2
    Publication Date: 2024-04-20
    Description: Data files S1-S13. Microfocus X-ray Computed Tomography cross-sectional images of 13 selected radiolarian skeletons in the western Arctic Ocean. The CT-scanned 3D images can be visualized by 3D image viewer Molcer Plus (http://www.white-rabbit.jp/molcerPlusE.html). Data file S1. Microfocus X-ray Computed Tomography cross-sectional images of Actinomma boreale Data file S2. Microfocus X-ray Computed Tomography cross-sectional images of Actinomma leptodermum leptodermum Data file S3. Microfocus X-ray Computed Tomography cross-sectional images of Actinommidae spp. juvenile form Data file S4. Microfocus X-ray Computed Tomography cross-sectional images of Amphimelissa setosa adult form Data file S5. Microfocus X-ray Computed Tomography cross-sectional images of Amphimelissa setosa juvenile form Data file S6. Microfocus X-ray Computed Tomography cross-sectional images of Joergensenium arcticum adult form Data file S7. Microfocus X-ray Computed Tomography cross-sectional images of Joergensenium arcticum juvenile form Data file S8. Microfocus X-ray Computed Tomography cross-sectional images of Nassellarida indet. Data file S9. Microfocus X-ray Computed Tomography cross-sectional images of Phormacantha hystrix Data file S10. Microfocus X-ray Computed Tomography cross-sectional images of Pseudodictyophimus clevei Data file S11. Microfocus X-ray Computed Tomography cross-sectional images of Pseudodictyophimus gracilipes gracilipes Data file S12. Microfocus X-ray Computed Tomography cross-sectional images of Pseudodictyophimus spp. juvenile form Data file S13. Microfocus X-ray Computed Tomography cross-sectional images of Spongotrochus glacialis
    Keywords: Arctic Ocean; Binary Object; Binary Object (File Size); Binary Object (Media Type); biogenic silica; biogeochemical cycles; File content; Microfocus X-ray CT; protists; Radiolaria; Rhizaria; silica cycle
    Type: Dataset
    Format: text/tab-separated-values, 26 data points
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  • 3
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2022-02-15
    Description: This open access book examines why Japan discontinued its quarter-century history of troop contribution to UN Peacekeeping Operations (1992–2017). Japan had deployed its troops as UN peacekeepers since 1992, albeit under a constitutional limit on weapons use. Japan’s peacekeepers began to focus on engineering work as its strength, while also trying to relax the constraints on weapons use, although to a minimal extent. In 2017, however, Japan suddenly withdrew its engineering corps from South Sudan, and has contributed no troops since then. Why? The book argues that Japan could not match the increasing “robustness” of recent peacekeeping operations and has begun to seek a new direction, such as capacity-building support.
    Keywords: Open Access ; Japanese studies ; peacekeeping ; peacebuilding ; security policy ; United Nations ; Japanese foreign policy ; SDG 16 ; sustainable development goals ; peace operations ; Japan’s contribution to global peace ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPS International relations ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::H Humanities::HB History::HBJ Regional & national history::HBJF Asian history
    Language: English
    Format: image/jpeg
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  • 4
    Publication Date: 2024-04-05
    Description: Infectious diseases are associated with approximately 20% of global mortality, with viral diseases causing about one third of these deaths. Besides newly emerging and re-emerging viral infections will continue to pose a threat to human survival globally. In this case scientific advances have greatly been increased to defend against those pathogens. For example, rapid genomic sequencing, proteomics, epigenomics, nanotechnology, and other advanced tools are being applied to detect viruses at the point of care and to track their spread within human populations as well as to understand virus-host interaction and virus induced pathogenesis. From rapid identification of new viruses to prevention with vaccination and treatment with effective therapeutics, biomedical research has continuously provided tools to meet the constant threat of emerging viral pathogens. Despite these advances, each new disease brings unique challenges to scientists every year. So we must stay at the cutting edge of scientific discovery, working energetically to develop new tools to combat the ever-changing threats they pose. Our research topic highlights such advanced and new technology based virus research which definitely bolsters the researcher's ability to tackle emerging, re-emerging and stable viral pathogens. We are credulous that the papers including in the e-books will be beneficial to the experts in the field to understand the molecular, immunological, ecological and clinical aspects of the next generation researches for the prevention and control of infectious diseases caused by viruses.
    Keywords: QR1-502 ; Q1-390 ; virus-host interaction ; Nanobiosensor ; Technology ; Next generation ; diagnosis ; Re-emerging ; Proteomic analysis ; Virus research ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSG Microbiology (non-medical)
    Language: English
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  • 5
    Publication Date: 2023-03-11
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Conte, M., Pàmies, R., Honda, M., & Herndl, G. Editorial: the oceanic particle flux and its cycling within the deep water column. Frontiers in Earth Science, 10, (2022): 1020065, https://doi.org/10.3389/feart.2022.1020065.
    Description: The oceanic particle flux transfers energy and material from the surface through the water column to the seafloor. (See review by Conte (2019) and references therein). The particle flux fuels life below the sunlit photic zone, exerts a major control on the global cycling of carbon and particle-associated elements, and also plays a major role in long-term carbon sequestration. In this Research Topic we present a collection of articles that provide a broad overview of current research on the interlinked processes controlling the magnitude and composition of the oceanic particle flux, and its cycling and depth attenuation within the deep water column.
    Keywords: Particle flux ; Deep ocean ; Marine particles ; Ocean biogeochemistry ; Carbon cycling ; Marine chemistry
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-06-07
    Description: Machine learning is one of the methods employed for the immediate prediction of tsunami occurrence. There have been few studies on error evaluation focusing on the arrival time of the tsunami inundation. In this study, we used machine learning to predict the tsunami arrival times for two areas and evaluated the errors. Tsunamis were calculated for several thousand cases for three different earthquake sizes using the tsunami simulator Q-Wave and assuming a Nankai Trough earthquake. Using these data, we trained a neural network to predict tsunami arrival time on the basis of the initial water level. As the amount of training data increased, the error decreased and the model with the most training data was used to predict the tsunami arrival times for two areas. The errors tended to be particularly large in coastal areas where tsunamis often reach. In some cases, the error was larger in Area B than in Area A, even though the amount of data for Area B was double that of Area A. These errors may be ascribed to variations in the arrival time of tsunamis in the training data due to topographical characteristics. For a magnitude 9.0 earthquake, the standard deviation of the tsunami arrival time in Area B is approximately 1.5 times that of Area A. Therefore, in addition to increasing the number of output variables and the accuracy of tsunami simulation, a more detailed consideration of the effect of area-specific characteristics on the error is needed in the future.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 7
    Publication Date: 2023-06-27
    Description: Phreatic eruptions are one of the eruption styles that are difficult to forecast and occasionally cause significant damage. Understanding the mechanisms of phreatic eruption is essential for minimizing damage. Mt. Motoshirane, one of the pyroclastic cones of the Kusatsu-Shirane Volcano located in central Japan, experienced a phreatic eruption in 2018 that resulted in casualties. The eruption was abrupt with no precursory phenomena. Mt. Motoshirane has been dormant for the last 1500 years, so it has been poorly monitored and studied. Studies conducted after the eruption suggested that the migration of hydrothermal fluids triggered the eruption, but those studies lacked information on shallow subsurface structure. In this paper, we report on the three-dimensional resistivity structure around the craters of the 2018 eruption, which was estimated from the audio-frequency magnetotelluric data obtained in 2020 and 2022. The inferred resistivity structure basically has a two-layer structure composed of a high-resistivity layer corresponding to the Quaternary lavas near the surface and low resistivities corresponding to the altered Neogene lavas below. Shallow moderately high resistivity regions in the low-resistivity layer are considered fluid reservoirs that have become infiltrated as a result of the eruption. Regions around the crack associated with the eruption showed relatively high resistivity, implying that the low resistivity zone is decoupled beneath the eruption site. We will discuss how the phreatic eruption occurred based on these interpretations in the presentation.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 8
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-06-27
    Description: The northern and central part of Japan facing the Japan Sea are widely snow-covered through winter. There are two types of snowfall distribution: one is the plain-type snowfall dominant in the Japan-Sea coastal plain areas and the other is the mountain-type snowfall dominant along mountain ranges. Although snowfalls are not so heavy in the coastal areas, rare extreme snowfalls are caused by the Japan Sea polar air-mass convergence zone (JPCZ) developed over the southern part of Japan Sea, where the JPCZ tends to appear connecting dents of cyclonic isobars. Further, we found that those extreme snowfalls are often also associated with anticyclonic isobars appeared along the Japan-Sea coast of Japan. Those cyclonic and anticyclonic isobars form “stomach shape pattern over the Japan Sea. In addition, a polar low (PL) tends to appear off the Japan-Sea coast in the northern Japan. Ascending flows with near surface convergence with the JPCZ and PL over the Japan Sea are in conjunction with divergence in the mid troposphere, which causes mid tropospheric convergence in between. This process requires descending flow and causes near surface divergence over the central part of the Japan Sea, which resultantly increases in surface pressure and forms an anticyclonic circulation along the Japan-Sea coast in the northern Japan. Thus convergent snow-cloud band is formed along the coast extending to southwestward, and it encounters the JPCZ oriented to eastward, where extreme snowfall events occur. Further numerical simulations also support robust features.
    Language: English
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  • 9
    Publication Date: 2023-04-20
    Description: Miyakejima volcano experienced its latest eruption in 2000 with the summit subsidence, and the next event is expected in the near future. An aeromagnetic survey in Miyakejima was conducted in March 2021 in order to investigate the current state of its magnetization structure to identify the potential for another eruption and, thus, mitigate volcanic disaster. The survey flight was conducted using an uncrewed aerial vehicle (UAV), a multirotor drone, to deploy a scalar magnetometer. After processing geomagnetic field data from this survey, in combination with data from previous surveys conducted by using another UAV, an uncrewed helicopter, the average magnetization intensity was determined to be 12.4 A/m. Further, the surrounding area of the crater was relatively highly magnetized; however, the crater rim had a low magnetization intensity. Temporal variation was detected between 2014 and 2021 and dominated the central part of the observation area. Decreased magnetization intensity was identified beneath the caldera, which may become recently demagnetized due to heat supply traveling through fractures in the impermeable layer from the deep heat reservoir.
    Language: English
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  • 10
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-07-12
    Description: The Boreal Summer Intraseasonal Oscillation (BSISO), which is characterized by a northeastward move of convective systems at a 30- to 60-day cycle, is the dominant intraseasonal variability in the Indo-Pacific warm pool region during boreal summer. Previous studies have discussed a phase-locking feature of the BSISO with respect to the annual cycle and even suggested its presence in the daily climatological field, referred to as the climatological BSISO (CBSISO). However, there still remains open whether CBSISO is a statistically significant feature, let alone its mechanisms. Here we present strong evidence for the presence of CBSISO based on 42-year records from satellite observations. Even without bandpass filtering, the CBSISO is present in the outgoing longwave radiation and precipitation records for the April-to-December period. Statistically significant spectral peaks are found in both records at about a 40-day period in the tropical Indian Ocean and western Pacific. On the basis of the phase information of individual years, we identified a group of approximately one-fourth of 42 years, which are highly in-phase with the CBSISO. This group of in-phase years have shown an early onset of the dry CBSISO phase in the Indian Ocean in April. There is also a hint that ENSO plays a modulating role in the CBSISO phase. In the presentation, we shall discuss possible mechanisms of the CBSISO.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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