Amateur-to-amateur

Copyright, it is commonly said, matters in society because it encourages the production of socially beneficial, culturally significant expressive content. Our focus on copyright's recent history, however, blinds us to the social information practices that have always existed. In this Article, we examine these social information practices, and query copyright's role within them. We posit a functional model of what is necessary for creative content to move from creator to user. These are the functions dealing with the creation, selection, production, dissemination, promotion, sale, and use of expressive content. We demonstrate how centralized commercial control of information content has been the driving force behind copyright's expansion. All of the functions that copyright industries once controlled, however, are undergoing revolutionary decentralization and disintermediation. Different aspects of information technology, notably the digitization of information, widespread computer ownership, the rise of the Internet, and the development of social software, threaten the viability and desirability of centralized control over every one of the content functions. These functions are increasingly being performed by individuals and disaggregated groups. This raises an issue for copyright as the main regulatory force in information practices: copyright assumes a central control requirement that no longer applies for the development of expressive content. We examine the normative implications of this shift for our information policy in this new post-copyright era. Most notably, we conclude that copyright law needs to be adjusted in order to recognize the opportunity and desirability of decentralized content, and the expanded marketplace of ideas it promises.

Listening to the talk of the city: media and urban informatics in community consultation for architectural and urban design

The discipline of architecture focuses on designing the built environment in response to the needs of society, reflecting culture through materials and forms. The physical boundaries of the city have become blurred through the integration of digital media, connecting the physical environment with the digital. In the recent past the future was imagined as highly technological; Ridley Scott’s Blade Runner is set in 2019 and introduces a polluted world where supersized screens inject advertisements in the cluttered urban space. Now, in 2014 screens are central to everyday life, but in a completely different way in respect to what had been imagined. Through ubiquitous computing and social media, information is abundant. Digital technologies have changed the way people relate to urban form supporting discussion on multiple levels, allowing citizens to be more vocal than ever before. Bottom-up campaigns to oppose anticipated developments or to suggest intervention in the way cities are designed, are a common situation in several parts of the world. For some extent governments and local authorities are trying to engage with developing technologies, but a common issue is that social media cannot be controlled or filtered as can be done with more traditional consultation methods. We question how designers can use the affordances of urban informatics to obtain and navigate useful social information to inform architectural and urban design. This research investigates different approaches to engage communities in the debate on the built environment. Physical and digital discussions have been initiated to capture citizens’ opinions on the use and design of public places. Online platforms, urban screens, mobile apps and guerrilla techniques are explored in the context of Brisbane, Australia.

Prevalence and consequences of negative workplace cyber communications in the Australian public sector

This research studied the prevalence and impact of workplace cyberbullying as perceived by public servants working in government organisations across Australia. Using Social Information Processing theory, this research found employees reported task- and person-related cyberbullying that was associated with increased workplace stress, diminished job satisfaction and performance, and reduced confidence in their organisations' anti-bullying intervention and protection strategies. Furthermore, workplace cyberbullying can create a concealed, online work culture that undermines employee and organisational productivity. These results are significant for employers' duty-of-care obligations, and represent a cogent argument for improved workplace cultures in support to Australia's future organisational and economic performance.

Asymptotic behavior of a hierarchical system of learning automata

Learning automata arranged in a two-level hierarchy are considered. The automata operate in a stationary random environment and update their action probabilities according to the linear-reward- -penalty algorithm at each level. Unlike some hierarchical systems previously proposed, no information transfer exists from one level to another, and yet the hierarchy possesses good convergence properties. Using weak-convergence concepts it is shown that for large time and small values of parameters in the algorithm, the evolution of the optimal path probability can be represented by a diffusion whose parameters can be computed explicitly.

A hierarchical system of learning automata that can learn die globally optimal path

Systems of learning automata have been studied by various researchers to evolve useful strategies for decision making under uncertainity. Considered in this paper are a class of hierarchical systems of learning automata where the system gets responses from its environment at each level of the hierarchy. A classification of such sequential learning tasks based on the complexity of the learning problem is presented. It is shown that none of the existing algorithms can perform in the most general type of hierarchical problem. An algorithm for learning the globally optimal path in this general setting is presented, and its convergence is established. This algorithm needs information transfer from the lower levels to the higher levels. Using the methodology of estimator algorithms, this model can be generalized to accommodate other kinds of hierarchical learning tasks.

Blurring the physical boundaries of the city: Media architecture and urban informatics for community engagement

Architecture focuses on designing built environments in response to society’s needs, reflecting culture through materials and forms. The physical boundaries of the city have become blurred through the integration of digital media, connecting the physical environment with the digital. In the recent past the future was imagined as highly technological; 1982 Ridley Scott’s Blade Runner is set in 2019 and introduces a world where supersized screens inject advertisements in the cluttered urban space. Now, in 2015 screens are central to everyday life, but in a completely different way in respect to what had been imagined. Through ubiquitous computing and social media, information is abundant. Digital technologies have changed the way people relate to cities supporting discussion on multiple levels, allowing citizens to be more vocal than ever before. We question how architects can use the affordances of urban informatics to obtain and navigate useful social information to inform design. This chapter investigates different approaches to engage communities in the debate on cities, in particular it aims to capture citizens’ opinions on the use and design of public places. Physical and digital discussions have been initiated to capture citizens’ opinions on the use and design of public places. In addition to traditional consultation methods, Web 2.0 platforms, urban screens, and mobile apps are used in the context of Brisbane, Australia to explore contemporary strategies of engagement (Gray 2014).

Positive Relationships between Association Strength and Phenotypic Similarity Characterize the Assembly of Mixed-Species Bird Flocks Worldwide

Competition theory predicts that local communities should consist of species that are more dissimilar than expected by chance. We find a strikingly different pattern in a multicontinent data set (55 presence-absence matrices from 24 locations) on the composition of mixed-species bird flocks, which are important sub-units of local bird communities the world over. By using null models and randomization tests followed by meta-analysis, we find the association strengths of species in flocks to be strongly related to similarity in body size and foraging behavior and higher for congeneric compared with noncongeneric species pairs. Given the local spatial scales of our individual analyses, differences in the habitat preferences of species are unlikely to have caused these association patterns; the patterns observed are most likely the outcome of species interactions. Extending group-living and social-information-use theory to a heterospecific context, we discuss potential behavioral mechanisms that lead to positive interactions among similar species in flocks, as well as ways in which competition costs are reduced. Our findings highlight the need to consider positive interactions along with competition when seeking to explain community assembly.

EXIT Chart Based Design of Irregular LDPC Codes for Large-MIMO Systems

In this letter, we characterize the extrinsic information transfer (EXIT) behavior of a factor graph based message passing algorithm for detection in large multiple-input multiple-output (MIMO) systems with tens to hundreds of antennas. The EXIT curves of a joint detection-decoding receiver are obtained for low density parity check (LDPC) codes of given degree distributions. From the obtained EXIT curves, an optimization of the LDPC code degree profiles is carried out to design irregular LDPC codes matched to the large-MIMO channel and joint message passing receiver. With low complexity joint detection-decoding, these codes are shown to perform better than off-the-shelf irregular codes in the literature by about 1 to 1.5 dB at a coded BER of 10(-5) in 16 x 16, 64 x 64 and 256 x 256 MIMO systems.

A Calcium-Dependent Plasticity Rule for HCN Channels Maintains Activity Homeostasis and Stable Synaptic Learning

Theoretical and computational frameworks for synaptic plasticity and learning have a long and cherished history, with few parallels within the well-established literature for plasticity of voltage-gated ion channels. In this study, we derive rules for plasticity in the hyperpolarization-activated cyclic nucleotide-gated (HCN) channels, and assess the synergy between synaptic and HCN channel plasticity in establishing stability during synaptic learning. To do this, we employ a conductance-based model for the hippocampal pyramidal neuron, and incorporate synaptic plasticity through the well-established Bienenstock-Cooper-Munro (BCM)-like rule for synaptic plasticity, wherein the direction and strength of the plasticity is dependent on the concentration of calcium influx. Under this framework, we derive a rule for HCN channel plasticity to establish homeostasis in synaptically-driven firing rate, and incorporate such plasticity into our model. In demonstrating that this rule for HCN channel plasticity helps maintain firing rate homeostasis after bidirectional synaptic plasticity, we observe a linear relationship between synaptic plasticity and HCN channel plasticity for maintaining firing rate homeostasis. Motivated by this linear relationship, we derive a calcium-dependent rule for HCN-channel plasticity, and demonstrate that firing rate homeostasis is maintained in the face of synaptic plasticity when moderate and high levels of cytosolic calcium influx induced depression and potentiation of the HCN-channel conductance, respectively. Additionally, we show that such synergy between synaptic and HCN-channel plasticity enhances the stability of synaptic learning through metaplasticity in the BCM-like synaptic plasticity profile. Finally, we demonstrate that the synergistic interaction between synaptic and HCN-channel plasticity preserves robustness of information transfer across the neuron under a rate-coding schema. Our results establish specific physiological roles for experimentally observed plasticity in HCN channels accompanying synaptic plasticity in hippocampal neurons, and uncover potential links between HCN-channel plasticity and calcium influx, dynamic gain control and stable synaptic learning.

Patterning and detailed study of human hNT astrocytes on parylene-C/silicon dioxide substrates to the single cell level.

It is estimated that the adult human brain contains 100 billion neurons with 5-10 times as many astrocytes. Although it has been generally considered that the astrocyte is a simple supportive cell to the neuron, recent research has revealed new functionality of the astrocyte in the form of information transfer to neurons of the brain. In our previous work we developed a protocol to pattern the hNT neuron (derived from the human teratocarcinoma cell line (hNT)) on parylene-C/SiO(2) substrates. In this work, we report how we have managed to pattern hNT astrocytes, on parylene-C/SiO(2) substrates to single cell resolution. This article disseminates the nanofabrication and cell culturing steps necessary for the patterning of such cells. In addition, it reports the necessary strip lengths and strip width dimensions of parylene-C that encourage high degrees of cellular coverage and single cell isolation for this cell type. The significance in patterning the hNT astrocyte on silicon chip is that it will help enable single cell and network studies into the undiscovered functionality of this interesting cell, thus, contributing to closer pathological studies of the human brain.

The Metabolic Core and Catalytic Switches Are Fundamental Elements in the Self-Regulation of the Systemic Metabolic Structure of Cells

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The Mechanical Genome in Regulation and Infection

Biological information storage and retrieval is a dynamic process that requires the genome to undergo dramatic structural rearrangements. Recent advances in single-molecule techniques have allowed precise quantification of the nano-mechanical properties of DNA [1, 2], and direct in vivo observation of molecules in action [3]. In this work, we will examine elasticity in protein-mediated DNA looping, whose structural rearrangement is essential for transcriptional regulation in both prokaryotes and eukaryotes. We will look at hydrodynamics in the process of viral DNA ejection, which mediates information transfer and exchange and has prominent implications in evolution. As in the case of Kepler's laws of planetary motion leading to Newton's gravitational theory, and the allometric scaling laws in biology revealing the organizing principles of complex networks [4], experimental data collapse in these biological phenomena has guided much of our studies and urged us to find the underlying physical principles.

Development of low entropy coding in a recurrent network.

In this paper we present an unsupervised neural network which exhibits competition between units via inhibitory feedback. The operation is such as to minimize reconstruction error, both for individual patterns, and over the entire training set. A key difference from networks which perform principal components analysis, or one of its variants, is the ability to converge to non-orthogonal weight values. We discuss the network's operation in relation to the twin goals of maximizing information transfer and minimizing code entropy, and show how the assignment of prior probabilities to network outputs can help to reduce entropy. We present results from two binary coding problems, and from experiments with image coding.

Phosphoproteome analysis of mouse liver using immobilized metal affinity purification and linear ion trap mass spectrometry

Since protein phosphorylation is a dominant mechanism of information transfer in cells, there is a great need for methods capable of accurately elucidating sites of phosphorylation. In recent years mass spectrometry has become an increasingly viable alternative to more traditional methods of phosphorylation analysis. The present study used immobilized metal affinity chromatography (IMAC coupled with a linear ion trap mass spectrometer to analyze phosphorylated proteins in mouse liver. A total of 26 peptide sequences defining 26 sites of phosphorylation were determined. Although this number of identified phosphoproteins is not large, the approach is still of interest because a series of conservative criteria were adopted in data analysis. We note that, although the binding of non-phosphorylated peptides to the IMAC column was apparent, the improvements in high-speed scanning and quality of MS/MS spectra provided by the linear ion trap contributed to the phosphoprotein identification. Further analysis demonstrated that MS/MS/MS analysis was necessary to exclude the false-positive matches resulting from the MS/MS experiments, especially for multiphosphorylated peptides. The use of the linear ion trap considerably enabled exploitation of nanoflow-HPLC/MS/MS, and in addition MS/MS/MS has great potential in phosphoproteome research of relatively complex samples. Copyright (C) 2004 John Wiley Sons, Ltd.

PRINCIPLES FOR STRUCTURE GENERATION OF ORGANIC ISOMERS FROM MOLECULAR FORMULA

An expert system for the elucidation of the structure of organic compounds (ESESOC) has been developed. The heart of the ESESOC is formed by the structure generator as an integral part, which receives the specific type of information (molecular formula, s