Listening to/with Mar Paradoxo: a collective practice for sharing listenings

This paper presents an experimental methodology developed by the collective Laura: Place for Research on Aurality for approaching listening as a shared experience. As a motif for the application of this methodology, we take the work Mar Paradoxo (Raquel Stolf, 2016) as a proposition for experiencing multiple modes of listening. To contextualize our understanding of Stolf’s work, we refer to the concept of otography as a way of approaching the listening experience as something that makes and is made out of traces. By means of the production, sharing, and analysis of listening reports, we outline different modes through which our listening navigates. These modes help us understand listening as an experience that is multi-mediated and relational, singular and situated. In the end, we emphasize the presence of the other in the listening subject, resonating the thesis that the listening activity is driven by a desire of making one’s listening listened.

The operation of différance in a student-produced digital video: insights into differing and deferring signifier operations and relations in multimodal discourse

In this article, the author presents a multimodal discourse analysis of a student-produced video, drawing upon Jacques Derrida’s theorization of différance. He analyzes the film as a signifying chain, drawing specifically upon the differing and deferring aspects of différance in order to conceptualize the movement of signification in the video. The focus of his analysis is on how différance, as a constitutive force, splits and divides attempts to discursively construct a present through coordination of signifiers from across multiple modes. His application of différance illustrates how the present, as constructed in the focal video, is ill-defined and always blurred since presently occurring, visible, and audible signifiers in the video do not signify in and of themselves, but rather refer to past signifiers and anticipate future signifiers for their constitution as they engage the dynamic and complex operations of différance. This analysis adds to approaches to multimodal discourse analysis of student-produced videos by accounting for the interaction of visual, actional, bodily, and spoken signifiers, as well as the pedagogical implications for understanding how discursive agencies act upon student video-composers.

Drivers of neutral and adaptive differentiation in pike (Esox lucius) populations from contrasting environments

Understanding how eco-evolutionary processes and environmental factors drive population differentiation and adaptation are key challenges in evolutionary biology of relevance for biodiversity protection. Differentiation requires at least partial reproductive separation, which may result from different modes of isolation such as geographic isolation (allopatry) or isolation by distance (IBD), resistance (IBR), and environment (IBE). Despite that multiple modes might jointly influence differentiation, studies that compare the relative contributions are scarce. Using RADseq, we analyse neutral and adaptive genetic diversity and structure in 11 pike (Esox lucius) populations along a latitudinal gradient (54.9 - 63.6°N), to investigate the relative effects of IBD, IBE and IBR, and to assess whether the effects differ between neutral and adaptive variation, or across structural levels. Patterns of neutral and adaptive variation differed, likely reflecting that they have been differently affected by stochastic and deterministic processes. The importance of the different modes of isolation differed between neutral and adaptive diversity, yet were consistent across structural levels. Neutral variation was influenced by interactions among all three modes of isolation, with IBR (seascape features) playing a central role, wheares adaptive variation was mainly influenced by IBE (environmental conditions). Taken together, this and previous studies suggest that it is common that multiple modes of isolation interactively shape patterns of genetic variation, and that their relative contributions differ among systems. To enable identification of general patterns and understand how various factors influence the relative contributions, it is important that several modes are simultaneously investigated in additional populations, species and environmental settings.

Minibrain kinase and calcineurin coordinate activity-dependent bulk endocytosis through synaptojanin

Neurons use multiple modes of endocytosis, including clathrin-mediated endocytosis (CME) and activity-dependent bulk endocytosis (ADBE), during mild and intense neuronal activity, respectively, to maintain stable neurotransmission. While molecular players modulating CME are well characterized, factors regulating ADBE and mechanisms coordinating CME and ADBE activations remain poorly understood. Here we report that Minibrain/DYRK1A (Mnb), a kinase mutated in autism and up-regulated in Down’s syndrome, plays a novel role in suppressing ADBE. We demonstrate that Mnb, together with calcineurin, delicately coordinates CME and ADBE by controlling the phosphoinositol phosphatase activity of synaptojanin (Synj) during varying synaptic demands. Functional domain analyses reveal that Synj’s 5′-phosphoinositol phosphatase activity suppresses ADBE, while SAC1 activity is required for efficient ADBE. Consequently, Parkinson’s disease mutation in Synj’s SAC1 domain impairs ADBE. These data identify Mnb and Synj as novel regulators of ADBE and further indicate that CME and ADBE are differentially governed by Synj’s dual phosphatase domains.

SAR Target Recognition Based on Joint Representation of Multimode Representations

For the problems of feature extraction and decision making in synthetic aperture radar (SAR) image target recognition, a method based on multimode clustering and decision fusion is proposed. The bidimensional variational mode decomposition (BVMD) is used to decompose the SAR image to obtain multiple modes, which provide multilevel descriptions of the target characteristics. Clustering is performed based on the intrinsic correlation of multiple modes, and several subsets with different modes are selected. Based on the joint sparse representation (JSR), each mode subset is classified, and the corresponding reconstruction error vector is obtained. The linear weighted fusion is employed to fuse the results from different mode subsets. Finally, a decision is made based on the fused results. Experiments are carried out based on the MSTAR dataset. The results show the effectiveness of the method under the standard operating condition (SOC) and robustness under extended operating conditions (EOCs).