336 research outputs found

    Intelligent Systems for Geosciences: An Essential Research Agenda

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    A research agenda for intelligent systems that will result in fundamental new capabilities for understanding the Earth system. Many aspects of geosciences pose novel problems for intelligent systems research. Geoscience data is challenging because it tends to be uncertain, intermittent, sparse, multiresolution, and multiscale. Geosciences processes and objects often have amorphous spatiotemporal boundaries. The lack of ground truth makes model evaluation, testing, and comparison difficult. Overcoming these challenges requires breakthroughs that would significantly transform intelligent systems, while greatly benefitting the geosciences in turn

    ํŠธ๋ฆฌ ๊ตฌ์กฐ๋ฅผ ์ด์šฉํ•œ 3์ฐจ์› ๊ณต๊ฐ„ ๋‚ด ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋ฏธ์ˆ ๋Œ€ํ•™ ๋””์ž์ธํ•™๋ถ€ ๋””์ž์ธ์ „๊ณต, 2019. 2. ๊น€์ˆ˜์ •.Speculative visualization combines both data visualization methods and aesthetics to draw attention to specific social, political and environmental issues. The speculative data visualization project proposed in this work explores electronic waste trade and the environmental performance of various nations. Illegal trading of electronic waste without proper disposal and recycling measures has a severe impact on both human health and the environment. This trade can be represented as a network data structure. The overall environmental health and ecosystem vitality of those trading countries, represented by their Environmental Performance Index (EPI), can also give greater insight into this issue. This EPI data has a hierarchical structure. This work explores methods to visualize these two data sets simultaneously in a manner that allows for analytical exploration of the data while communicating its underlying meaning. This project-based design research specifically focuses on visualizing hierarchical datasets with a node-link type tree structure and suggests a novel data visualization method, called the data garden, to visualize these hierarchical datasets within a spatial network. This draws inspiration from networks found between trees in nature. This is applied to the illegal e-waste trade and environmental datasets to provoke discussion, provide a holistic understanding and improve the peoples awareness on these issues. This uses both analytical data visualization techniques, along with a more aesthetic approach. The data garden approach is used to create a 3D interactive data visualization that users can use to navigate and explore the data in a meaningful way while also providing an emotional connection to the subject. This is due to the ability of the data garden approach to accurately show the underlying data while also closely mimicking natural structures. The visualization project intends to encourage creative professionals to create both visually appealing and thought-provoking data visualizations on significant issues that can reach a mass audience and improve awareness of citizens. Additionally, this design research intends to cause further discussion on the role of aesthetics and creative practices in data visualizations.์‚ฌ๋ณ€์  ์‹œ๊ฐํ™”(speculative visualization)๋Š” ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๋ฐฉ๋ฒ•๊ณผ ๋ฏธํ•™์„ ๊ฒฐํ•ฉํ•˜์—ฌ ํŠน์ •ํ•œ ์‚ฌํšŒ, ์ •์น˜ ๋ฐ ํ™˜๊ฒฝ ๋ฌธ์ œ์— ๊ด€์‹ฌ์„ ์œ ๋„ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ œ์•ˆํ•œ ์‚ฌ๋ณ€์  ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ํ”„๋กœ์ ํŠธ๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ๊ตญ๊ฐ€์˜ ์ „์ž ํ๊ธฐ๋ฌผ ๊ฑฐ๋ž˜์™€ ํ™˜๊ฒฝ ์„ฑ๊ณผ๋ฅผ ์‚ดํŽด๋ด…๋‹ˆ๋‹ค. ์ ์ ˆํ•œ ์ฒ˜๋ฆฌ์™€ ์žฌํ™œ์šฉ ์กฐ์น˜๊ฐ€ ์ด๋ค„์ง€์ง€ ์•Š์€ ์ „์žํ๊ธฐ๋ฌผ์˜ ๋ถˆ๋ฒ• ๊ฑฐ๋ž˜๋Š” ํ™˜๊ฒฝ๊ณผ ์ธ๊ฐ„์— ์‹ฌ๊ฐํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. ์ด ๊ฑฐ๋ž˜๋Š” ๋„คํŠธ์›Œํฌ ๋ฐ์ดํ„ฐ ๊ตฌ์กฐ๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ™˜๊ฒฝ์„ฑ๊ณผ์ง€์ˆ˜(EPI)๋ฅผ ํ†ตํ•ด ์ด ๊ฑฐ๋ž˜์— ์ฐธ์—ฌํ•˜๋Š” ๊ตญ๊ฐ€๋“ค์˜ ์ „๋ฐ˜์ ์ธ ํ™˜๊ฒฝ ๋ณด๊ฑด๊ณผ ์ƒํƒœ๊ณ„ ํ™œ๋ ฅ์„ ์‚ดํŽด๋ณด๋Š” ๊ฒƒ์€ ์ด ๋ฌธ์ œ์— ๋” ๊นŠ์€ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ํ™˜๊ฒฝ์„ฑ๊ณผ์ง€์ˆ˜๋Š” ๊ณ„์ธต ๊ตฌ์กฐ๋กœ ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„์ ์œผ๋กœ ํƒ๊ตฌํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํ†ตํ•ด ๋‘ ๊ฐ€์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ๋™์‹œ์— ์‹œ๊ฐํ™”ํ•˜๊ณ , ์ด๋ฅผ ํ†ตํ•ด ํ‘œ๋ฉด์— ๋“œ๋Ÿฌ๋‚˜์ง€ ์•Š๋Š” ๋ฐ์ดํ„ฐ์˜ ์˜๋ฏธ๋ฅผ ์ „๋‹ฌํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ํƒ๊ตฌํ•ฉ๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ”„๋กœ์ ํŠธ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ๋””์ž์ธ ์—ฐ๊ตฌ๋กœ, ๋…ธ๋“œ ๋งํฌ ์œ ํ˜• ํŠธ๋ฆฌ ๊ตฌ์กฐ๋ฅผ ํ†ตํ•ด ๊ณ„์ธต์  ๋ฐ์ดํ„ฐ๋ฅผ ์‹œ๊ฐํ™”ํ•˜๋Š” ๊ฒƒ์— ์ค‘์ ์„ ๋‘๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ž์—ฐ์—์„œ ๋ฐœ๊ฒฌํ•  ์ˆ˜ ์žˆ๋Š” ๋‚˜๋ฌด ๊ฐ„ ๋„คํŠธ์›Œํฌ์—์„œ ์˜๊ฐ์„ ์–ป์–ด ๊ณต๊ฐ„ ๋„คํŠธ์›Œํฌ์—์„œ ๊ณ„์ธต์  ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ์‹œ๊ฐํ™”ํ•ฉ๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ •์›์ด๋ผ๊ณ  ํ•˜๋Š” ์ด ์ƒˆ๋กœ์šด ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๋ฐฉ๋ฒ•์„ ๋ถˆ๋ฒ• ์ „์ž ํ๊ธฐ๋ฌผ ๊ฑฐ๋ž˜์™€ ํ™˜๊ฒฝ ๋ฐ์ดํ„ฐ์— ์ ์šฉํ•˜์—ฌ ํ† ๋ก ์„ ์œ ๋ฐœํ•˜๊ณ  ์ „์ฒด์ ์ธ ์ดํ•ด๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ ์ด๋Ÿฌํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•œ ์‚ฌ๋žŒ๋“ค์˜ ์ธ์‹์„ ๊ฐœ์„ ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋ณด๋‹ค ๋ฏธ์ ์ธ ์ ‘๊ทผ๊ณผ ๋ถ„์„์  ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™” ๊ธฐ์ˆ ์„ ๋ชจ๋‘ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ •์›์„ ํ†ตํ•œ ์ ‘๊ทผ์œผ๋กœ ์‚ผ์ฐจ์› ๋Œ€ํ™”ํ˜• ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์‹œ๊ฐํ™”๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์˜๋ฏธ ์žˆ๋Š” ๋ฐฉ์‹์œผ๋กœ ์‚ดํŽด๋ณด๋Š” ๋™์‹œ์— ์ฃผ์ œ์™€ ๊ฐ์„ฑ์ ์ธ ์—ฐ๊ฒฐ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋ฐ์ดํ„ฐ ์ •์› ๋ฐฉ๋ฒ•์ด ๋ฐ์ดํ„ฐ๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ๋ณด์—ฌ์ฃผ๋Š” ๋™์‹œ์— ์ž์—ฐ ๊ตฌ์กฐ๋ฅผ ๋ฉด๋ฐ€ํ•˜๊ฒŒ ๋ชจ๋ฐฉํ•˜๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ๋ณธ ์‹œ๊ฐํ™” ํ”„๋กœ์ ํŠธ๋Š” ์ฐฝ์˜์ ์ธ ์ „๋ฌธ๊ฐ€๋“ค์ด ์ค‘์š”ํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•ด ์‹œ๊ฐ์ ์œผ๋กœ ๋งค๋ ฅ์ ์ด๊ณ  ์ƒ๊ฐ์„ ์ž๊ทนํ•˜๋Š” ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”๋ฅผ ๋งŒ๋“ค์–ด ๋Œ€์ค‘์—๊ฒŒ ๋„๋‹ฌํ•˜๊ณ  ์‹œ๋ฏผ๋“ค์˜ ์ธ์‹์„ ํ–ฅ์ƒํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ๋””์ž์ธ ์—ฐ๊ตฌ๋Š” ๋ฐ์ดํ„ฐ ์‹œ๊ฐํ™”์—์„œ ๋ฏธํ•™๊ณผ ์ฐฝ์กฐ์ ์ธ ์‹ค์ฒœ์˜ ์—ญํ• ์— ๋Œ€ํ•œ ๋” ๋งŽ์€ ๋…ผ์˜๋ฅผ ์œ ๋„ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค.Abstract I Table of Contents III List of Figures VI 1. Introduction 1 1.1 Research Background 2 1.2 Research Goal and Method 6 1.3 Terminology 9 2. Hierarchical Relationships: Trees 14 2.1 The History of Tree Diagrams 16 2.1.1 Significance of Trees 16 2.1.2 Aristotles Hierarchical Order of Life 19 2.1.3 Early Religious Depictions of Hierarchical Structures 22 2.1.4 Depicting Evolution 26 2.2 Tree Structures 29 2.3 Tree Layouts 31 3. Complex Relationships: Networks 34 3.1 Attributes of Networks 36 3.1.1 Interdependence and Interconnectedness 38 3.1.2 Decentralization 42 3.1.3 Nonlinearity 45 3.1.4 Multiplicity 46 3.2 Spatial Networks 46 3.3 Combining Tree Structures and Networks 48 4. Design Study Goals and Criteria 51 4.1 Objectives of the Design Study 71 4.2 Data Visualization Approaches 54 4.3 Criteria of Data Visualization 57 4.3.1 Aesthetics 58 4.3.2 Information Visualization Principles 62 4.3.2.1 Visual Cues in Data Visualization 62 4.3.2.2 Gestalt Principles 65 4.3.2.3 Increasing Efficiency of Network Visualizations 67 4.4 Case Study 70 5. Design Study: Data Garden Method 78 5.1 Concept of the Data Garden Structure 79 5.2 Data Garden Tree Structure 84 5.2.1 360ยฐVertical Branches 85 5.2.2 Break Point of the Branches 87 5.2.3 Aligning Hierarchy Levels 89 5.2.3.1 Design 01 โ€“ Extend Method 90 5.2.3.2 Design 02 โ€“ Collapse Method 91 5.2.4 Node Placement Technique 92 5.3 Conveying 3D Information 95 6. Design Study: Visualization Project 98 6.1 Theme 99 6.1.1 E-waste Trade 100 6.1.2 Environmental Performance Index 102 6.2 Visual Design Concept 104 6.3 Assigning Attributes 105 6.4 Visual Design Process 107 6.4.1 Leaf (Node) Design Process 107 6.4.1.1 Leaf Inspiration 107 6.4.1.2 Leaf Design 108 6.4.1.3 Leaf Area Calculation and Alignment 113 6.4.2 Stem (Branch) Design Process 116 6.4.3 Root (Link) Design Process 117 6.5 Interaction Design 118 6.5.1 Navigation 118 6.5.2 User Interface 119 6.5.3 Free and Detail Modes 120 6.5.4 Data Details 121 6.6 Visualization Renders 122 6.7 Exhibition 129 7. Conclusion 131 7.1 Conclusion 132 7.2 Limitations and Further Research 133 Bibliography 135 ๊ตญ๋ฌธ์ดˆ๋ก (Abstract in Korean) 144Docto

    Sea dragons of Avalon

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    Tourists driving through the village2 of Street on their way to Glastonbury might well wonder at the representation of a skeleton on the road sign. Could this perhaps be a warning that this stretch of the A39 is a roadkill hotspot? I (Stig Walsh, once a local inhabitant) suspect that the skeletonโ€™s true identity may be far from what most outsiders expect of this part of Somerset (and most locals too). Cider, cheddar cheese, sheepskins, sensible shoes and scratched vinyl LPs of โ€˜The Best of the Wurzelsโ€™ probably rank highly in a top ten list of โ€˜objects found on and around the Somerset Levelsโ€™; Mesozoic ichthyosaurs probably wouldnโ€™t make the top 40. Street nonetheless has an important place in the history of vertebrate palaeontology, and the PalAss review seminar held in late July was organised to look at what can be said about those fossils today

    Sub-thesis...

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    Digital Techniques for Documenting and Preserving Cultural Heritage

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    In this unique collection the authors present a wide range of interdisciplinary methods to study, document, and conserve material cultural heritage. The methods used serve as exemplars of best practice with a wide variety of cultural heritage objects having been recorded, examined, and visualised. The objects range in date, scale, materials, and state of preservation and so pose different research questions and challenges for digitization, conservation, and ontological representation of knowledge. Heritage science and specialist digital technologies are presented in a way approachable to non-scientists, while a separate technical section provides details of methods and techniques, alongside examples of notable applications of spatial and spectral documentation of material cultural heritage, with selected literature and identification of future research. This book is an outcome of interdisciplinary research and debates conducted by the participants of the COST Action TD1201, Colour and Space in Cultural Heritage, 2012โ€“16 and is an Open Access publication available under a CC BY-NC-ND licence.https://scholarworks.wmich.edu/mip_arc_cdh/1000/thumbnail.jp

    Genome sequences reveal global dispersal routes and suggest convergent genetic adaptations in seahorse evolution

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    Seahorses have a circum-global distribution in tropical to temperate coastal waters. Yet, seahorses show many adaptations for a sedentary, cryptic lifestyle: they require specific habitats, such as seagrass, kelp or coral reefs, lack pelvic and caudal fins, and give birth to directly developed offspring without pronounced pelagic larval stage, rendering long-range dispersal by conventional means inefficient. Here we investigate seahorsesโ€™ worldwide dispersal and biogeographic patterns based on a de novo genome assembly of Hippocampus erectus as well as 358 re-sequenced genomes from 21 species. Seahorses evolved in the late Oligocene and subsequent circum-global colonization routes are identified and linked to changing dynamics in ocean currents and paleo-temporal seaway openings. Furthermore, the genetic basis of the recurring โ€œbony spinesโ€ adaptive phenotype is linked to independent substitutions in a key developmental gene. Analyses thus suggest that rafting via ocean currents compensates for poor dispersal and rapid adaptation facilitates colonizing new habitats.Fil: Chunyan, Li. Southern Marine Science and Engineering Guangdong Laboratory; China. Pilot National Laboratory for Marine Science and Technology; China. Chinese Academy of Sciences; Repรบblica de ChinaFil: Olave, Melisa. Consejo Nacional de Investigaciones Cientรญficas y Tรฉcnicas. Centro Cientรญfico Tecnolรณgico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas รridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas รridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas รridas; Argentina. University of Konstanz; AlemaniaFil: Hou, Yali. Chinese Academy of Sciences; Repรบblica de ChinaFil: Geng, Qi. Chinese Academy of Sciences; Repรบblica de China. Southern Marine Science and Engineering Guangdong Laboratory; ChinaFil: Schneider, Ralf. University Of Konstanz; Alemania. Helmholtz Centre for Ocean Research Kie; AlemaniaFil: Zeixa, Gao. Huazhong Agricultural University; ChinaFil: Xiaolong, Tu. Allwegene Technologies ; ChinaFil: Xin, Wang. Chinese Academy of Sciences; Repรบblica de ChinaFil: Furong, Qi. China National Center for Bioinformation; China. University of Chinese Academy of Sciences; ChinaFil: Nater, Alexander. University of Konstanz; AlemaniaFil: Kautt, Andreas F.. University of Konstanz; Alemania. Harvard University; Estados UnidosFil: Wan, Shiming. Chinese Academy of Sciences; Repรบblica de ChinaFil: Yanhong, Zhang. Chinese Academy of Sciences; Repรบblica de ChinaFil: Yali, Liu. Chinese Academy of Sciences; Repรบblica de ChinaFil: Huixian, Zhang. Chinese Academy of Sciences; Repรบblica de ChinaFil: Bo, Zhang. Chinese Academy of Sciences; Repรบblica de ChinaFil: Hao, Zhang. Chinese Academy of Sciences; Repรบblica de ChinaFil: Meng, Qu ,. Chinese Academy of Sciences; Repรบblica de ChinaFil: Shuaishuai, Liu. Chinese Academy of Sciences; Repรบblica de ChinaFil: Zeyu, Chen. Chinese Academy of Sciences; Repรบblica de China. University of Chinese Academy of Sciences; ChinaFil: Zhong, Jia. Chinese Academy of Sciences; Repรบblica de ChinaFil: Zhang, He. BGI-Shenzhen; ChinaFil: Meng, Lingfeng. BGI-Shenzhen; ChinaFil: Wang, Kai. Ludong University; ChinaFil: Yin, Jianping. Chinese Academy of Sciences; Repรบblica de ChinaFil: Huang, Liangmin. Chinese Academy of Sciences; Repรบblica de China. University of Chinese Academy of Sciences; ChinaFil: Venkatesh, Byrappa. Institute of Molecular and Cell Biology; SingapurFil: Meyer, Axel. University of Konstanz; AlemaniaFil: Lu, Xuemei. Chinese Academy of Sciences; Repรบblica de ChinaFil: Lin, Qiang. Chinese Academy of Sciences; Repรบblica de China. Southern Marine Science and Engineering Guangdong Laboratory; China. Pilot National Laboratory for Marine Science and Technology; China. University of Chinese Academy of Sciences; Chin

    Uncovering strata: an investigation into the graphic innovations of geologist Henry T. De la Beche

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    An historical investigation into the types of illustrations in the Golden Age of Geology (1788-1840) revealed the nature and progression of graphic representation at the dawning of geology as a science. Exhaustive sampling of geology texts published in the period of focus proceeded until saturation was achieved. Qualitative analysis and evaluation of early illustrations were accomplished with Edward R. Tufte\u27s theory of graphic design. Hypothesis testing around a correlation coefficient revealed significance at the 99% confidence level for relationships between publication year and number of included graphics, and publication year and the graphic density of texts. Henry T. De la Beche emerged as an important geologist who made numerous innovative graphic contributions in the Golden Age of Geology. De la Beche promoted colliding theory graphics, or the accurate portrayal of the earth\u27s sections and scenes that would remain valuable for future generations of geologists. He was apparently the first geologist to utilize the small multiple format. De la Beche also designed and drew scientific caricatures that encapsulated the theoretical debates of the day, as well as the social, cultural, and historical influences on the emerging theories of geology. These scientific caricatures have emerged as instructional graphics with significant classroom potential for teaching the nature of science. De la Beche also drew the first portrayal of a scene from deep time, Duria antiquior, which became the first innovative classroom geology teaching graphic. Through his introduction and development of several important genres of visual explanation, De la Beche emerged as the Father of Visual Geology Education

    Table 3: List of excluded Tetramorium

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    With 600 described species, the ant genus Tetramorium represents one of the most species-rich ant radiations. However, much work remains to fully document the hyperdiversity of this remarkable group. Tetramorium, while globally distributed, is thought to have originated in the Afrotropics and is particularly diverse in the Old World. Here, we focus attention on the Tetramorium fauna of India, a region of high biodiversity value and interest for conservation. We overview Tetramorium diversity in India by providing a species list, accounts of all species groups present, an illustrated identification key to Indian Tetramorium species groups and notes on the Indian Tetramorium fauna. Further, we describe two new species, Tetramorium krishnani sp. n. and Tetramorium jarawa sp. n. from the Andaman Islands archipelago and embed them into currently recognized Tetramorium tonganum and Tetramorium inglebyi species groups. We also provide illustrated species level keys for these groups. Along with detailed species descriptions and high-resolution montage images of types, we provide 3D cybertypes of the new species derived from X-ray micro-computed tomography

    Digital Techniques for Documenting and Preserving Cultural Heritage

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    This book presents interdisciplinary approaches to the examination and documentation of material cultural heritage, using non-invasive spatial and spectral optical technologies

    Curriculum Change 2021-2022

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