• Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data 

      Zhang, Xiaokang; Jonassen, Inge; Goksøyr, Anders (Chapter, 2021)
      Biomarkers are of great importance in many fields, such as cancer research, toxicology, diagnosis and treatment of diseases, and to better understand biological response mechanisms to internal or external intervention. ...
    • Machine learning ATR-FTIR spectroscopy data for the screening of collagen for ZooMS analysis and mtDNA in archaeological bone 

      Pal Chowdhury, Manasij; Choudhury, Kaustabh Datta; Bouchard, Geneviève Pothier; Riel-Salvatore, Julien; Negrino, Fabio; Benazzi, Stefano; Slimak, Ludovic; Frasier, Brenna; Szabo, Vicki; Harrison, Ramona; Hambrecht, George; Kitchener, Andrew C.; Wogelius, Roy A.; Buckley, Mike (Journal article; Peer reviewed, 2021)
      Faunal remains from archaeological sites allow for the identification of animal species that enables the better understanding of the relationships between humans and animals, not only from their morphological information, ...
    • Machine learning based on biomarker profiles identifies distinct subgroups of heart failure with preserved ejection fraction 

      Woolley, Rebecca J.; Ceelen, Daan; Ouwerkerk, Wouter; Tromp, Jasper; Figarska, Sylwia M.; Anker, Stefan D.; Dickstein, Kenneth; Filippatos, Gerasimos; Zannad, Faiez; Marco, Metra; Ng, Leong L.; Samani, Nilesh J.; van Veldhuisen, Dirk J; Lang, Chim C.; Lam, Carolyn S.P.; Voors, Adriaan A. (Journal article; Peer reviewed, 2021)
      Aims The lack of effective therapies for patients with heart failure with preserved ejection fraction (HFpEF) is often ascribed to the heterogeneity of patients with HFpEF. We aimed to identify distinct pathophysiologic ...
    • Machine learning in marine ecology: an overview of techniques and applications 

      Rubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Desto Barcellos, Diogo; DeVos, Paul; Fernandes-Salvador, Jose A; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry L.; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris V.; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; Van den Bulcke, Laure; van Helmond, Aloysius; Watson, Jordan T.; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David S.; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens M.; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier (Journal article; Peer reviewed, 2023)
      Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific ...
    • Machine Vision: How Algorithms are Changing the Way We See the World 

      Rettberg, Jill Walker (Book, 2023)
      Humans have used technology to expand our limited vision for millennia, from the invention of the stone mirror 8,000 years ago to the latest developments in facial recognition and augmented reality. We imagine that ...
    • Macro and Microstructural Characteristics of North Atlantic Deep-Sea Sponges as Bioinspired Models for Tissue Engineering Scaffolding 

      Martins, Eva; Rapp, Hans Tore; Xavier, Joana R.; Diogo, Gabriela S.; Reis, Rui L.; Silva, Tiago H. (Journal article; Peer reviewed, 2021)
      Sponges occur ubiquitously in the marine realm and in some deep-sea areas they dominate the benthic communities forming complex biogenic habitats – sponge grounds, aggregations, gardens and reefs. However, deep-sea sponges ...
    • Macroecological context predicts species' responses to climate warming 

      Lynn, Joshua Scott; Klanderud, Kari; Telford, Richard James; Goldberg, Deborah E.; Vandvik, Vigdis (Journal article; Peer reviewed, 2021)
      Context-dependencies in species' responses to the same climate change frustrate attempts to generalize and make predictions based on experimental and observational approaches in biodiversity science. Here, we propose ...
    • Macroeconomy and macropartisanship: Economic conditions and party identification 

      Okolikj, Martin; Quinlan, Stephen; Lewis-Beck, Michael S. (Journal article; Peer reviewed, 2022)
      “It's the economy stupid”—is the phrase that captures the ubiquity of economics in determining election outcomes. Nevertheless, while several studies support the premise of economic voting, a constant critique of valence ...
    • Macromolecular sheets direct the morphology and orientation of plate-like biogenic guanine crystals 

      Wagner, Avital; Upcher, Alexander; Maria, Raquel; Magnesen, Thorolf; Zelinger, Einat; Raposo, Graca; Palmer, Benjamin (Journal article; Peer reviewed, 2023)
      Animals precisely control the morphology and assembly of guanine crystals to produce diverse optical phenomena in coloration and vision. However, little is known about how organisms regulate crystallization to produce ...
    • Macrophage phenotype transitions in a stochastic gene-regulatory network model 

      Frank, Anna-Simone Josefine; Larripa, Kamila; Ryu, Hwayeon; Röblitz, Susanna (Journal article; Peer reviewed, 2023)
      Polarization is the process by which a macrophage cell commits to a phenotype based on external signal stimulation. To know how this process is affected by random fluctuations and events within a cell is of utmost importance ...
    • Macroscale mesenchymal condensation to study cytokine-driven cellular and matrix-related changes during cartilage degradation 

      Weber, Marie-Christin; Fischer, Lisa; Damerau, Alexandra; Ponomarev, Igor; Pfeiffenberger, Moritz; Gaber, Timo; Götschel, Sebastian; Lang, Jens; Röblitz, Susanna; Buttgereit, Frank; Ehrig, Rainald; Lang, Annemarie (Journal article; Peer reviewed, 2020)
      Understanding the pathophysiological processes of cartilage degradation requires adequate model systems to develop therapeutic strategies towards osteoarthritis (OA). Although different in vitro or in vivo models have been ...
    • Made in Almanya: The Birth of Turkish Rap 

      Solomon, Thomas (Chapter, 2021)
      Turkish rap was born in the late 1980s in the transnational meeting of two mobile groups of people: African American soldiers stationed in Germany during the waning days of the Cold War and the period immediately after its ...
    • Magmatism at Passive Margins: Effects of Depth-Dependent Wide Rifting and Lithospheric Counterflow 

      Lu, Gang; Huismans, Ritske Sipke (Journal article; Peer reviewed, 2022)
      Rifted passive margins exhibit a large variety in the timing, distribution, and amount of magmatism. The factors controlling magmatism during rifted margin formation, remain, however, incompletely understood, partly owing ...
    • Magnetic docking stations for remotely powered light emitting diodes 

      Helseth, Lars Egil; Wen, Hanzhen (Journal article; Peer reviewed, 2022)
      Light emitting diodes (LEDs) are efficient light sources which due to low power consumption often are considered for demonstrations of wireless energy transmission. It is often not only necessary to power these light sources ...
    • Magnetic Reconnection in Three Dimensions: Modeling and Analysis of Electromagnetic Drift Waves in the Adjacent Current Sheet 

      Ergun, Robert E; Hoilijoki, Sanni; Ahmadi, N.; Schwartz, S.J.; Wilder, F.D.; Drake, James F.; Hesse, Michael; Shay, Michael A.; Ji, H.; Yamada, M; Graham, Daniel B.; Cassak, P.A.; Swisdak, M; Burch, J. L.; Torbert, R.B.; Holmes, JC; Stawarz, JE; Goodrich, Katherine A; Eriksson, S.; Strangeway, Robert J.; LeContel, O (Journal article; Peer reviewed, 2019)
      We present a model of electromagnetic drift waves in the current sheet adjacent to magnetic reconnection at the subsolar magnetopause. These drift waves are potentially important in governing 3‐D structure of subsolar ...
    • Magnetic Resonance Imaging and Computed Tomography for the Noninvasive Assessment of Arterial Aging: A Review by the VascAgeNet COST Action 

      Bianchini, Elisabetta; Lønnebakken, Mai Tone; Wohlfahrt, Peter; Piskin, Senol; Terentes-Printzios, Dimitrios; Alastruey, Jordi; Guala, Andrea (Journal article; Peer reviewed, 2023)
      Magnetic resonance imaging and computed tomography allow the characterization of arterial state and function with high confidence and thus play a key role in the understanding of arterial aging and its translation into the ...
    • Magnetic Resonance Spectroscopy in Depressed Subjects Treated With Electroconvulsive Therapy—A Systematic Review of Literature 

      Erchinger, Vera Jane; Ersland, Lars; Aukland, Stein Magnus; Abbott, Christopher; Oltedal, Leif (Journal article; Peer reviewed, 2021)
      Electroconvulsive therapy (ECT) is considered to be the most effective acute treatment for otherwise treatment resistant major depressive episodes, and has been used for over 80 years. Still, the underlying mechanism of ...
    • Magnetospheric Flux Throughput in the Dungey Cycle: Identification of Convection State During 2010 

      Milan, Stephen Eric; Carter, Jennifer Alyson; Sangha, Harneet; Bower, G.E.; Anderson, Brian J. (Journal article; Peer reviewed, 2021)
      We quantify the contributions of different convection states to the magnetic flux throughput of the magnetosphere during 2010. To do this we provide a continuous classification of convection state for the duration of 2010 ...
    • Magnetospheric Multiscale Observations of an Expanding Oxygen Wave in Magnetic Reconnection 

      Kolstø, Håkon Midthun; Norgren, Astrid Elisabet Cecilia; Hesse, Michael; Chen, Li-Jen; Tenfjord, Paul; Spinnangr, Susanne Flø; Kwagala, Norah Kaggwa (Journal article; Peer reviewed, 2021)
      Heavier plasma species such as oxygen ions can have a large impact on the magnetic reconnection process. It has been hypothesized that the acceleration of demagnetized oxygen ions by the Hall electric field will lead to ...