[{"abstract":[{"lang":"eng","text":"The process of detecting and evaluating sensory information to guide behaviour is termed perceptual decision-making (PDM), and is critical for the ability of an organism to interact with its external world. Individuals with autism, a neurodevelopmental condition primarily characterised by social and communication difficulties, frequently exhibit altered sensory processing and PDM difficulties are widely reported. Recent technological advancements have pushed forward our understanding of the genetic changes accompanying this condition, however our understanding of how these mutations affect the function of specific neuronal circuits and bring about the corresponding behavioural changes remains limited. Here, we use an innate PDM task, the looming avoidance response (LAR) paradigm, to identify a convergent behavioural abnormality across three molecularly distinct genetic mouse models of autism (Cul3, Setd5 and Ptchd1). Although mutant mice can rapidly detect threatening visual stimuli, their responses are consistently delayed, requiring longer to initiate an appropriate response than their wild-type siblings. Mutant animals show abnormal adaptation in both their stimulus- evoked escape responses and exploratory dynamics following repeated stimulus presentations. Similarly delayed behavioural responses are observed in wild-type animals when faced with more ambiguous threats, suggesting the mutant phenotype could arise from a dysfunction in the flexible control of this PDM process.\r\nOur knowledge of the core neuronal circuitry mediating the LAR facilitated a detailed dissection of the neuronal mechanisms underlying the behavioural impairment. In vivo extracellular recording revealed that visual responses were unaffected within a key brain region for the rapid processing of visual threats, the superior colliculus (SC), indicating that the behavioural delay was unlikely to originate from sensory impairments. Delayed behavioural responses were recapitulated in the Setd5 model following optogenetic stimulation of the excitatory output neurons of the SC, which are known to mediate escape initiation through the activation of cells in the underlying dorsal periaqueductal grey (dPAG). In vitro patch-clamp recordings of dPAG cells uncovered a stark hypoexcitability phenotype in two out of the three genetic models investigated (Setd5 and Ptchd1), that in Setd5, is mediated by the misregulation of voltage-gated potassium channels. Overall, our results show that the ability to use visual information to drive efficient escape responses is impaired in three diverse genetic mouse models of autism and that, in one of the models studied, this behavioural delay likely originates from differences in the intrinsic excitability of a key subcortical node, the dPAG. Furthermore, this work showcases the use of an innate behavioural paradigm to mechanistically dissect PDM processes in autism."}],"type":"dissertation","alternative_title":["ISTA Thesis"],"file":[{"file_name":"Burnett_Thesis_2023.docx","access_level":"closed","creator":"lburnett","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_size":23029260,"file_id":"12717","relation":"source_file","date_updated":"2023-03-08T15:08:46Z","date_created":"2023-03-08T15:08:46Z","checksum":"6c6d9cc2c4cdacb74e6b1047a34d7332"},{"checksum":"cebc77705288bf4382db9b3541483cd0","success":1,"date_created":"2023-03-08T15:08:46Z","date_updated":"2023-03-08T15:08:46Z","relation":"main_file","file_id":"12718","file_size":11959869,"content_type":"application/pdf","creator":"lburnett","access_level":"open_access","file_name":"Burnett_Thesis_2023_pdfA.pdf"}],"oa_version":"Published Version","_id":"12716","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","status":"public","title":"To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism","ddc":["599","573"],"has_accepted_license":"1","article_processing_charge":"No","day":"10","date_published":"2023-03-10T00:00:00Z","citation":{"ama":"Burnett L. To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism. 2023. doi:10.15479/at:ista:12716","apa":"Burnett, L. (2023). To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12716","ieee":"L. Burnett, “To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism,” Institute of Science and Technology Austria, 2023.","ista":"Burnett L. 2023. To flee, or not to flee? Using innate defensive behaviours to investigate rapid perceptual decision-making through subcortical circuits in mouse models of autism. Institute of Science and Technology Austria.","short":"L. Burnett, To Flee, or Not to Flee? Using Innate Defensive Behaviours to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse Models of Autism, Institute of Science and Technology Austria, 2023.","mla":"Burnett, Laura. To Flee, or Not to Flee? Using Innate Defensive Behaviours to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse Models of Autism. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12716.","chicago":"Burnett, Laura. “To Flee, or Not to Flee? Using Innate Defensive Behaviours to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse Models of Autism.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12716."},"page":"178","ec_funded":1,"file_date_updated":"2023-03-08T15:08:46Z","author":[{"full_name":"Burnett, Laura","first_name":"Laura","last_name":"Burnett","id":"3B717F68-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8937-410X"}],"date_created":"2023-03-08T15:19:45Z","date_updated":"2023-04-05T10:59:04Z","year":"2023","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"publication_status":"published","publication_identifier":{"issn":["2663-337X"]},"month":"03","doi":"10.15479/at:ista:12716","language":[{"iso":"eng"}],"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"M-Shop"},{"_id":"CampIT"}],"supervisor":[{"full_name":"Jösch, Maximilian A","first_name":"Maximilian A","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3937-1330"}],"degree_awarded":"PhD","oa":1,"project":[{"name":"Circuits of Visual Attention","call_identifier":"H2020","grant_number":"756502","_id":"2634E9D2-B435-11E9-9278-68D0E5697425"}]},{"article_processing_charge":"No","has_accepted_license":"1","day":"23","date_published":"2023-03-23T00:00:00Z","citation":{"mla":"Kravchuk, Vladyslav. Structural and Mechanistic Study of Bacterial Complex I and Its Cyanobacterial Ortholog. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12781.","short":"V. Kravchuk, Structural and Mechanistic Study of Bacterial Complex I and Its Cyanobacterial Ortholog, Institute of Science and Technology Austria, 2023.","chicago":"Kravchuk, Vladyslav. “Structural and Mechanistic Study of Bacterial Complex I and Its Cyanobacterial Ortholog.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12781.","ama":"Kravchuk V. Structural and mechanistic study of bacterial complex I and its cyanobacterial ortholog. 2023. doi:10.15479/at:ista:12781","ista":"Kravchuk V. 2023. Structural and mechanistic study of bacterial complex I and its cyanobacterial ortholog. Institute of Science and Technology Austria.","apa":"Kravchuk, V. (2023). Structural and mechanistic study of bacterial complex I and its cyanobacterial ortholog. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12781","ieee":"V. Kravchuk, “Structural and mechanistic study of bacterial complex I and its cyanobacterial ortholog,” Institute of Science and Technology Austria, 2023."},"page":"127","abstract":[{"lang":"eng","text":"Most energy in humans is produced in form of ATP by the mitochondrial respiratory chain consisting of several protein assemblies embedded into lipid membrane (complexes I-V). Complex I is the first and the largest enzyme of the respiratory chain which is essential for energy production. It couples the transfer of two electrons from NADH to ubiquinone with proton translocation across bacterial or inner mitochondrial membrane. The coupling mechanism between electron transfer and proton translocation is one of the biggest enigma in bioenergetics and structural biology. Even though the enzyme has been studied for decades, only recent technological advances in cryo-EM allowed its extensive structural investigation. \r\n\r\nComplex I from E.coli appears to be of special importance because it is a perfect model system with a rich mutant library, however the structure of the entire complex was unknown. In this thesis I have resolved structures of the minimal complex I version from E. coli in different states including reduced, inhibited, under reaction turnover and several others. Extensive structural analyses of these structures and comparison to structures from other species allowed to derive general features of conformational dynamics and propose a universal coupling mechanism. The mechanism is straightforward, robust and consistent with decades of experimental data available for complex I from different species. \r\n\r\nCyanobacterial NDH (cyanobacterial complex I) is a part of broad complex I superfamily and was studied as well in this thesis. It plays an important role in cyclic electron transfer (CET), during which electrons are cycled within PSI through ferredoxin and plastoquinone to generate proton gradient without NADPH production. Here, I solved structure of NDH and revealed additional state, which was not observed before. The novel “resting” state allowed to propose the mechanism of CET regulation. Moreover, conformational dynamics of NDH resembles one in complex I which suggest more broad universality of the proposed coupling mechanism.\r\n\r\nIn summary, results presented here helped to interpret decades of experimental data for complex I and contributed to fundamental mechanistic understanding of protein function.\r\n"}],"type":"dissertation","alternative_title":["ISTA Thesis"],"oa_version":"Published Version","file":[{"date_updated":"2023-04-19T14:33:41Z","date_created":"2023-04-19T14:33:41Z","checksum":"5ebb6345cb4119f93460c81310265a6d","file_id":"12852","embargo":"2024-04-20","relation":"main_file","creator":"vkravchu","content_type":"application/pdf","file_size":6071553,"file_name":"VladyslavKravchuk_PhD_Thesis_PostSub_Final_1.pdf","embargo_to":"local","access_level":"closed"},{"relation":"source_file","embargo":"2024-04-20","file_id":"12853","checksum":"c12055c48411d030d2afa51de2166221","date_updated":"2023-04-20T07:02:59Z","date_created":"2023-04-19T14:33:52Z","access_level":"closed","embargo_to":"local","file_name":"VladyslavKravchuk_PhD_Thesis_PostSub_Final.docx","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","file_size":19468766,"creator":"vkravchu"}],"_id":"12781","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","title":"Structural and mechanistic study of bacterial complex I and its cyanobacterial ortholog","status":"public","ddc":["570","572"],"publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-029-9"]},"month":"03","doi":"10.15479/at:ista:12781","language":[{"iso":"eng"}],"acknowledged_ssus":[{"_id":"EM-Fac"}],"supervisor":[{"full_name":"Sazanov, Leonid A","first_name":"Leonid A","last_name":"Sazanov","id":"338D39FE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-0977-7989"}],"degree_awarded":"PhD","project":[{"grant_number":"25541","_id":"238A0A5A-32DE-11EA-91FC-C7463DDC885E","name":"Structural characterization of E. coli complex I: an important mechanistic model"},{"grant_number":"101020697","_id":"627abdeb-2b32-11ec-9570-ec31a97243d3","name":"Structure and mechanism of respiratory chain molecular machines","call_identifier":"H2020"}],"ec_funded":1,"file_date_updated":"2023-04-20T07:02:59Z","related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"12138"}]},"author":[{"first_name":"Vladyslav","last_name":"Kravchuk","id":"4D62F2A6-F248-11E8-B48F-1D18A9856A87","full_name":"Kravchuk, Vladyslav"}],"date_created":"2023-03-31T12:24:42Z","date_updated":"2023-08-04T08:54:51Z","year":"2023","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GradSch"},{"_id":"LeSa"}],"publication_status":"published"},{"date_created":"2023-05-23T17:07:53Z","date_updated":"2023-08-04T10:33:27Z","author":[{"full_name":"Peste, Elena-Alexandra","last_name":"Peste","first_name":"Elena-Alexandra","id":"32D78294-F248-11E8-B48F-1D18A9856A87"}],"related_material":{"record":[{"id":"11458","status":"public","relation":"part_of_dissertation"},{"status":"public","relation":"part_of_dissertation","id":"13053"},{"relation":"part_of_dissertation","status":"public","id":"12299"}]},"publication_status":"published","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GradSch"},{"_id":"DaAl"},{"_id":"ChLa"}],"year":"2023","file_date_updated":"2023-05-24T16:12:59Z","ec_funded":1,"acknowledged_ssus":[{"_id":"ScienComp"}],"supervisor":[{"full_name":"Lampert, Christoph","orcid":"0000-0001-8622-7887","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","last_name":"Lampert","first_name":"Christoph"},{"orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","first_name":"Dan-Adrian","full_name":"Alistarh, Dan-Adrian"}],"degree_awarded":"PhD","language":[{"iso":"eng"}],"doi":"10.15479/at:ista:13074","project":[{"call_identifier":"H2020","name":"International IST Doctoral Program","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","name":"Elastic Coordination for Scalable Machine Learning","_id":"268A44D6-B435-11E9-9278-68D0E5697425","grant_number":"805223"}],"oa":1,"month":"05","publication_identifier":{"issn":["2663-337X"]},"file":[{"creator":"epeste","file_size":2152072,"content_type":"application/pdf","file_name":"PhD_Thesis_Alexandra_Peste_final.pdf","access_level":"open_access","date_created":"2023-05-24T16:11:16Z","date_updated":"2023-05-24T16:11:16Z","success":1,"checksum":"6b3354968403cb9d48cc5a83611fb571","file_id":"13087","relation":"main_file"},{"access_level":"closed","file_name":"PhD_Thesis_APeste.zip","content_type":"application/zip","file_size":1658293,"creator":"epeste","relation":"source_file","file_id":"13088","checksum":"8d0df94bbcf4db72c991f22503b3fd60","date_updated":"2023-05-24T16:12:59Z","date_created":"2023-05-24T16:12:59Z"}],"oa_version":"Published Version","title":"Efficiency and generalization of sparse neural networks","status":"public","ddc":["000"],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","_id":"13074","abstract":[{"text":"Deep learning has become an integral part of a large number of important applications, and many of the recent breakthroughs have been enabled by the ability to train very large models, capable to capture complex patterns and relationships from the data. At the same time, the massive sizes of modern deep learning models have made their deployment to smaller devices more challenging; this is particularly important, as in many applications the users rely on accurate deep learning predictions, but they only have access to devices with limited memory and compute power. One solution to this problem is to prune neural networks, by setting as many of their parameters as possible to zero, to obtain accurate sparse models with lower memory footprint. Despite the great research progress in obtaining sparse models that preserve accuracy, while satisfying memory and computational constraints, there are still many challenges associated with efficiently training sparse models, as well as understanding their generalization properties.\r\n\r\nThe focus of this thesis is to investigate how the training process of sparse models can be made more efficient, and to understand the differences between sparse and dense models in terms of how well they can generalize to changes in the data distribution. We first study a method for co-training sparse and dense models, at a lower cost compared to regular training. With our method we can obtain very accurate sparse networks, and dense models that can recover the baseline accuracy. Furthermore, we are able to more easily analyze the differences, at prediction level, between the sparse-dense model pairs. Next, we investigate the generalization properties of sparse neural networks in more detail, by studying how well different sparse models trained on a larger task can adapt to smaller, more specialized tasks, in a transfer learning scenario. Our analysis across multiple pruning methods and sparsity levels reveals that sparse models provide features that can transfer similarly to or better than the dense baseline. However, the choice of the pruning method plays an important role, and can influence the results when the features are fixed (linear finetuning), or when they are allowed to adapt to the new task (full finetuning). Using sparse models with fixed masks for finetuning on new tasks has an important practical advantage, as it enables training neural networks on smaller devices. However, one drawback of current pruning methods is that the entire training cycle has to be repeated to obtain the initial sparse model, for every sparsity target; in consequence, the entire training process is costly and also multiple models need to be stored. In the last part of the thesis we propose a method that can train accurate dense models that are compressible in a single step, to multiple sparsity levels, without additional finetuning. Our method results in sparse models that can be competitive with existing pruning methods, and which can also successfully generalize to new tasks.","lang":"eng"}],"alternative_title":["ISTA Thesis"],"type":"dissertation","date_published":"2023-05-23T00:00:00Z","page":"147","citation":{"ista":"Peste E-A. 2023. Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria.","ieee":"E.-A. Peste, “Efficiency and generalization of sparse neural networks,” Institute of Science and Technology Austria, 2023.","apa":"Peste, E.-A. (2023). Efficiency and generalization of sparse neural networks. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:13074","ama":"Peste E-A. Efficiency and generalization of sparse neural networks. 2023. doi:10.15479/at:ista:13074","chicago":"Peste, Elena-Alexandra. “Efficiency and Generalization of Sparse Neural Networks.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:13074.","mla":"Peste, Elena-Alexandra. Efficiency and Generalization of Sparse Neural Networks. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:13074.","short":"E.-A. Peste, Efficiency and Generalization of Sparse Neural Networks, Institute of Science and Technology Austria, 2023."},"day":"23","has_accepted_license":"1","article_processing_charge":"No"},{"project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020"}],"tmp":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","image":"/images/cc_by_nc_sa.png","short":"CC BY-NC-SA (4.0)"},"language":[{"iso":"eng"}],"degree_awarded":"PhD","supervisor":[{"full_name":"Hannezo, Edouard B","first_name":"Edouard B","last_name":"Hannezo","id":"3A9DB764-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6005-1561"}],"doi":"10.15479/at:ista:12964","publication_identifier":{"isbn":["978-3-99078-032-9"],"issn":["2663-337X"]},"month":"05","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GradSch"},{"_id":"EdHa"}],"publication_status":"published","year":"2023","date_created":"2023-05-15T14:52:36Z","date_updated":"2023-08-04T11:02:40Z","related_material":{"record":[{"id":"8602","status":"public","relation":"part_of_dissertation"}]},"author":[{"first_name":"Daniel R","last_name":"Boocock","id":"453AF628-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1585-2631","full_name":"Boocock, Daniel R"}],"license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","ec_funded":1,"file_date_updated":"2023-05-19T07:04:25Z","page":"146","citation":{"apa":"Boocock, D. R. (2023). Mechanochemical pattern formation across biological scales. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12964","ieee":"D. R. Boocock, “Mechanochemical pattern formation across biological scales,” Institute of Science and Technology Austria, 2023.","ista":"Boocock DR. 2023. Mechanochemical pattern formation across biological scales. Institute of Science and Technology Austria.","ama":"Boocock DR. Mechanochemical pattern formation across biological scales. 2023. doi:10.15479/at:ista:12964","chicago":"Boocock, Daniel R. “Mechanochemical Pattern Formation across Biological Scales.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12964.","short":"D.R. Boocock, Mechanochemical Pattern Formation across Biological Scales, Institute of Science and Technology Austria, 2023.","mla":"Boocock, Daniel R. Mechanochemical Pattern Formation across Biological Scales. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12964."},"date_published":"2023-05-17T00:00:00Z","article_processing_charge":"No","has_accepted_license":"1","day":"17","title":"Mechanochemical pattern formation across biological scales","status":"public","ddc":["530"],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","_id":"12964","oa_version":"Published Version","file":[{"content_type":"application/pdf","file_size":40414730,"creator":"dboocock","access_level":"closed","embargo_to":"open_access","file_name":"thesis_boocock.pdf","checksum":"d51240675fc6dc0e3f5dc0c902695d3a","date_created":"2023-05-17T13:39:54Z","date_updated":"2023-05-19T07:04:25Z","relation":"main_file","embargo":"2024-05-17","file_id":"12988"},{"checksum":"581a2313ffeb40fe77e8a122a25a7795","date_updated":"2023-05-17T14:35:13Z","date_created":"2023-05-17T13:39:53Z","relation":"source_file","file_id":"12989","file_size":34338567,"content_type":"application/zip","creator":"dboocock","access_level":"closed","file_name":"thesis_boocock.zip"}],"alternative_title":["ISTA Thesis"],"type":"dissertation","abstract":[{"text":"Pattern formation is of great importance for its contribution across different biological behaviours. During developmental processes for example, patterns of chemical gradients are\r\nestablished to determine cell fate and complex tissue patterns emerge to define structures such\r\nas limbs and vascular networks. Patterns are also seen in collectively migrating groups, for\r\ninstance traveling waves of density emerging in moving animal flocks as well as collectively migrating cells and tissues. To what extent these biological patterns arise spontaneously through\r\nthe local interaction of individual constituents or are dictated by higher level instructions is\r\nstill an open question however there is evidence for the involvement of both types of process.\r\nWhere patterns arise spontaneously there is a long standing interest in how far the interplay\r\nof mechanics, e.g. force generation and deformation, and chemistry, e.g. gene regulation\r\nand signaling, contributes to the behaviour. This is because many systems are able to both\r\nchemically regulate mechanical force production and chemically sense mechanical deformation,\r\nforming mechano-chemical feedback loops which can potentially become unstable towards\r\nspatio and/or temporal patterning.\r\nWe work with experimental collaborators to investigate the possibility that this type of\r\ninteraction drives pattern formation in biological systems at different scales. We focus first on\r\ntissue-level ERK-density waves observed during the wound healing response across different\r\nsystems where many previous studies have proposed that patterns depend on polarized cell\r\nmigration and arise from a mechanical flocking-like mechanism. By combining theory with\r\nmechanical and optogenetic perturbation experiments on in vitro monolayers we instead find\r\nevidence for mechanochemical pattern formation involving only scalar bilateral feedbacks\r\nbetween ERK signaling and cell contraction. We perform further modeling and experiment\r\nto study how this instability couples with polar cell migration in order to produce a robust\r\nand efficient wound healing response. In a following chapter we implement ERK-density\r\ncoupling and cell migration in a 2D active vertex model to investigate the interaction of\r\nERK-density patterning with different tissue rheologies and find that the spatio-temporal\r\ndynamics are able to both locally and globally fluidize a tissue across the solid-fluid glass\r\ntransition. In a last chapter we move towards lower spatial scales in the context of subcellular\r\npatterning of the cell cytoskeleton where we investigate the transition between phases of\r\nspatially homogeneous temporal oscillations and chaotic spatio-temporal patterning in the\r\ndynamics of myosin and ROCK activities (a motor component of the actomyosin cytoskeleton\r\nand its activator). Experimental evidence supports an intrinsic chemical oscillator which we\r\nencode in a reaction model and couple to a contractile active gel description of the cell cortex.\r\nThe model exhibits phases of chemical oscillations and contractile spatial patterning which\r\nreproduce many features of the dynamics seen in Drosophila oocyte epithelia in vivo. However,\r\nadditional pharmacological perturbations to inhibit myosin contractility leaves the role of\r\ncontractile instability unclear. We discuss alternative hypotheses and investigate the possibility\r\nof reaction-diffusion instability.","lang":"eng"}]},{"day":"28","has_accepted_license":"1","article_processing_charge":"No","page":"82","citation":{"ieee":"M. Calcabrini, “Nanoparticle-based semiconductor solids: From synthesis to consolidation,” Institute of Science and Technology Austria, 2023.","apa":"Calcabrini, M. (2023). Nanoparticle-based semiconductor solids: From synthesis to consolidation. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:12885","ista":"Calcabrini M. 2023. Nanoparticle-based semiconductor solids: From synthesis to consolidation. Institute of Science and Technology Austria.","ama":"Calcabrini M. Nanoparticle-based semiconductor solids: From synthesis to consolidation. 2023. doi:10.15479/at:ista:12885","chicago":"Calcabrini, Mariano. “Nanoparticle-Based Semiconductor Solids: From Synthesis to Consolidation.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:12885.","short":"M. Calcabrini, Nanoparticle-Based Semiconductor Solids: From Synthesis to Consolidation, Institute of Science and Technology Austria, 2023.","mla":"Calcabrini, Mariano. Nanoparticle-Based Semiconductor Solids: From Synthesis to Consolidation. Institute of Science and Technology Austria, 2023, doi:10.15479/at:ista:12885."},"date_published":"2023-04-28T00:00:00Z","alternative_title":["ISTA Thesis"],"type":"dissertation","abstract":[{"lang":"eng","text":"High-performance semiconductors rely upon precise control of heat and charge transport. This can be achieved by precisely engineering defects in polycrystalline solids. There are multiple approaches to preparing such polycrystalline semiconductors, and the transformation of solution-processed colloidal nanoparticles is appealing because colloidal nanoparticles combine low cost with structural and compositional tunability along with rich surface chemistry. However, the multiple processes from nanoparticle synthesis to the final bulk nanocomposites are very complex. They involve nanoparticle purification, post-synthetic modifications, and finally consolidation (thermal treatments and densification). All these properties dictate the final material’s composition and microstructure, ultimately affecting its functional properties. This thesis explores the synthesis, surface chemistry and consolidation of colloidal semiconductor nanoparticles into dense solids. In particular, the transformations that take place during these processes, and their effect on the material’s transport properties are evaluated. "}],"ddc":["546","541"],"title":"Nanoparticle-based semiconductor solids: From synthesis to consolidation","status":"public","_id":"12885","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","file":[{"date_updated":"2023-05-02T07:43:18Z","date_created":"2023-05-02T07:43:18Z","checksum":"9347b0e09425f56fdcede5d3528404dc","relation":"source_file","file_id":"12887","file_size":99627036,"content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","creator":"mcalcabr","file_name":"Thesis_Calcabrini.docx","access_level":"closed"},{"access_level":"open_access","file_name":"Thesis_Calcabrini_pdfa.pdf","creator":"mcalcabr","file_size":8742220,"content_type":"application/pdf","file_id":"12888","relation":"main_file","success":1,"checksum":"2d188b76621086cd384f0b9264b0a576","date_created":"2023-05-02T07:42:45Z","date_updated":"2023-05-02T07:42:45Z"}],"oa_version":"Published Version","month":"04","publication_identifier":{"issn":["2663-337X"],"isbn":["978-3-99078-028-2"]},"project":[{"name":"International IST Doctoral Program","call_identifier":"H2020","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"oa":1,"acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"NanoFab"}],"supervisor":[{"id":"43C61214-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5013-2843","first_name":"Maria","last_name":"Ibáñez","full_name":"Ibáñez, Maria"}],"degree_awarded":"PhD","language":[{"iso":"eng"}],"doi":"10.15479/at:ista:12885","file_date_updated":"2023-05-02T07:43:18Z","ec_funded":1,"publication_status":"published","publisher":"Institute of Science and Technology Austria","department":[{"_id":"GradSch"},{"_id":"MaIb"}],"year":"2023","date_updated":"2023-08-14T07:25:26Z","date_created":"2023-05-02T07:58:57Z","author":[{"full_name":"Calcabrini, Mariano","id":"45D7531A-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4566-5877","first_name":"Mariano","last_name":"Calcabrini"}],"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"10806"},{"id":"10042","status":"public","relation":"part_of_dissertation"},{"id":"12237","relation":"part_of_dissertation","status":"public"},{"id":"9118","relation":"part_of_dissertation","status":"public"},{"relation":"part_of_dissertation","status":"public","id":"10123"}]}}]