scholarly journals The Galaxian Project: A 3D Interaction-Based Animation Engine

Author(s):  
Philippe Mathieu ◽  
Sébastien Picault
Keyword(s):  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Anastasia Ryzhkova ◽  
Alena Taskina ◽  
Anna Khabarova ◽  
Veniamin Fishman ◽  
Nariman Battulin

AbstractGeneration of mature red blood cells, consisting mainly of hemoglobin, is a remarkable example of coordinated action of various signaling networks. Chromatin condensation is an essential step for terminal erythroid differentiation and subsequent nuclear expulsion in mammals. Here, we profiled 3D genome organization in the blood cells from ten species belonging to different vertebrate classes. Our analysis of contact maps revealed a striking absence of such 3D interaction patterns as loops or TADs in blood cells of all analyzed representatives. We also detect large-scale chromatin rearrangements in blood cells from mammals, birds, reptiles and amphibians: their contact maps display strong second diagonal pattern, representing an increased frequency of long-range contacts, unrelated to TADs or compartments. This pattern is completely atypical for interphase chromosome structure. We confirm that these principles of genome organization are conservative in vertebrate erythroid cells.


2013 ◽  
Author(s):  
Sungjoo Suh ◽  
Changkyu Choi ◽  
Dusik Park

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3267
Author(s):  
Maria Dumitrascuta ◽  
Marcel Bermudez ◽  
Olga Trovato ◽  
Jolien De Neve ◽  
Steven Ballet ◽  
...  

Opioids are the most effective analgesics, with most clinically available opioids being agonists to the µ-opioid receptor (MOR). The MOR is also responsible for their unwanted effects, including reward and opioid misuse leading to the current public health crisis. The imperative need for safer, non-addictive pain therapies drives the search for novel leads and new treatment strategies. In this study, the recently discovered MOR/nociceptin (NOP) receptor peptide hybrid KGNOP1 (H-Dmt-D-Arg-Aba-β-Ala-Arg-Tyr-Tyr-Arg-Ile-Lys-NH2) was evaluated following subcutaneous administration in mouse models of acute (formalin test) and chronic inflammatory pain (Complete Freund’s adjuvant-induced paw hyperalgesia), liabilities of spontaneous locomotion, conditioned place preference, and the withdrawal syndrome. KGNOP1 demonstrated dose-dependent antinociceptive effects in the formalin test, and efficacy in attenuating thermal hyperalgesia with prolonged duration of action. Antinociceptive effects of KGNOP1 were reversed by naltrexone and SB-612111, indicating the involvement of both MOR and NOP receptor agonism. In comparison with morphine, KGNOP1 was more potent and effective in mouse models of inflammatory pain. Unlike morphine, KGNOP1 displayed reduced detrimental liabilities, as no locomotor impairment nor rewarding and withdrawal effects were observed. Docking of KGNOP1 to the MOR and NOP receptors and subsequent 3D interaction pattern analyses provided valuable insights into its binding mode. The mixed MOR/NOP receptor peptide KGNOP1 holds promise in the effort to develop new analgesics for the treatment of various pain states with fewer MOR-mediated side effects, particularly abuse and dependence liabilities.


Author(s):  
Hannes Harms ◽  
Toomas Juht ◽  
Anna Janaszkiewicz ◽  
Jana Valauskaité ◽  
António Silva ◽  
...  
Keyword(s):  

Author(s):  
Jeroen Keijser ◽  
Sheelagh Carpendale ◽  
Mark Hancock ◽  
Tobias Isenberg

2015 ◽  
Vol 15 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Daniel Fritz ◽  
Annette Mossel ◽  
Hannes Kaufmann

In mobile applications, it is crucial to provide intuitive means for 2D and 3D interaction. A large number of techniques exist to support a natural user interface (NUI) by detecting the user's hand posture in RGB+D (depth) data. Depending on the given interaction scenario and its environmental properties, each technique has its advantages and disadvantages regarding accuracy and the robustness of posture detection. While the interaction environment in a desktop setup can be constrained to meet certain requirements, a handheld scenario has to deal with varying environmental conditions. To evaluate the performance of techniques on a mobile device, a powerful software framework was developed that is capable of processing and fusing RGB and depth data directly on a handheld device. Using this framework, five existing hand posture recognition techniques were integrated and systematically evaluated by comparing their accuracy under varying illumination and background. Overall results reveal best recognition rate of posture detection for combined RGB+D data at the expense of update rate. To support users in choosing the appropriate technique for their specific mobile interaction task, we derived guidelines based on our study. In the last step, an experimental study was conducted using the detected hand postures to perform the canonical 3D interaction tasks selection and positioning in a mixed reality handheld setup.


Sign in / Sign up

Export Citation Format

Share Document