Indie media and digital community collaborations in public libraries

Purpose - This paper examines the current state of collecting with emphasis on small, independent, and local digital media for the purpose of exploring librarians’ tools in order to develop unique collections with these types of cultural products included. Design/methodology/approach – This conceptual paper is based upon examination of the current state of publishing and digital media, of case profiles of independent digital content providers, of case profiles of public libraries using digital media to expand collections, and of collection developers’ tools, including reviewing sources. Findings – With regard to expanding collections from small, independent, and local digital content providers, user-generated content (UGC) is offered as a tool for collection developers to use alongside other traditional reviewing sources. UGC allows for embedding collective voices into collection development practices in order to capture digital cultural products from these providers. Originality/value – This paper reflects on the current state of digital content creation and publishing, including the limitations and possibilities in place for the future of public library collections from both large publishing companies and smaller media creators. Non-traditional digital media are cultural products produced for consumption and reception, therefore, we consider how these materials fit into contemporary collections, how they are connected to public libraries, and subsequently are made available to library users

Beyond traditional publishing models: An examination of the relationships between authors, readers, and publishers

Purpose – The purpose of this paper is to investigate the state of contemporary publishing, specifically the realms of fanfiction and self-publishing, for the ways in which readership is represented in conjunction with authors and publishers within the publication process. The structure of this process is then compared with Robert Darnton’s communications circuit in order to propose a new model for the publication. As the publication process has a profound impact on the teaching and practice of collection development and reader studies in LIS, the discipline must be aware of any changes to the publication process. Design/methodology/approach – Using the case study approach, this research examines the cultural product, Fifty Shades of Grey (FSOG). Evidence included fanfiction and self-published manuscripts, reader reception of these texts, and a timeline of how the texts developed. Findings – Evidence gathered from the case study illustrate a variety of players and infrastructure present in the development and trajectory of FSOG. Throughout the entire development of the cultural product, readers were found to be active agents in the publication process promoting strong connections between reader and author. Findings focus on the themes of textual development and their publicity. Originality/value – Proposes a new model for the publication process that includes fanfiction and self-publishing

From One to Many: Creating a Culture of Research Reputation

Faculty and the institutions they work for have increasingly strong needs to manage their research reputations. Syracuse University Libraries assists individuals and institutional offices in determining metrics such as the H index, citation counts, altmetrics, etc. and provides context to these metrics. The first presenter will illustrate how the Libraries provide assistance in managing one\u27s individual research reputation using subscription based and freely available tools. The second presenter will outline how institutional wide reputation is being cultivated in cooperation with other campus units. Lastly, the third presenter will discuss the value of and how a subscription based vendor is vital to helping individual researchers and institutions increase their research reputation. All three presenters will outline the resources needed to develop these tools and services - within the libraries, within the university, and while working with a subscription based vendor. They will discuss the challenges of capturing research output beyond traditional scholarly communication methods in these systems. Lastly they will share recommendations for developing research reputation management services at your own institution

Computational modeling with forward and reverse engineering links signaling network and genomic regulatory responses: NF-κB signaling-induced gene expression responses in inflammation

<p>Abstract</p> <p>Background</p> <p>Signal transduction is the major mechanism through which cells transmit external stimuli to evoke intracellular biochemical responses. Diverse cellular stimuli create a wide variety of transcription factor activities through signal transduction pathways, resulting in different gene expression patterns. Understanding the relationship between external stimuli and the corresponding cellular responses, as well as the subsequent effects on downstream genes, is a major challenge in systems biology. Thus, a systematic approach is needed to integrate experimental data and theoretical hypotheses to identify the physiological consequences of environmental stimuli.</p> <p>Results</p> <p>We proposed a systematic approach that combines forward and reverse engineering to link the signal transduction cascade with the gene responses. To demonstrate the feasibility of our strategy, we focused on linking the NF-κB signaling pathway with the inflammatory gene regulatory responses because NF-κB has long been recognized to play a crucial role in inflammation. We first utilized forward engineering (Hybrid Functional Petri Nets) to construct the NF-κB signaling pathway and reverse engineering (Network Components Analysis) to build a gene regulatory network (GRN). Then, we demonstrated that the corresponding IKK profiles can be identified in the GRN and are consistent with the experimental validation of the IKK kinase assay. We found that the time-lapse gene expression of several cytokines and chemokines (TNF-α, IL-1, IL-6, CXCL1, CXCL2 and CCL3) is concordant with the NF-κB activity profile, and these genes have stronger influence strength within the GRN. Such regulatory effects have highlighted the crucial roles of NF-κB signaling in the acute inflammatory response and enhance our understanding of the systemic inflammatory response syndrome.</p> <p>Conclusion</p> <p>We successfully identified and distinguished the corresponding signaling profiles among three microarray datasets with different stimuli strengths. In our model, the crucial genes of the NF-κB regulatory network were also identified to reflect the biological consequences of inflammation. With the experimental validation, our strategy is thus an effective solution to decipher cross-talk effects when attempting to integrate new kinetic parameters from other signal transduction pathways. The strategy also provides new insight for systems biology modeling to link any signal transduction pathways with the responses of downstream genes of interest.</p

Dynamic Transcript Profiling of Candida Albicans Infection in Zebrafish: a Pathogen-Host Interaction Study

Candida albicans is responsible for a number of life-threatening infections and causes considerable morbidity and mortality in immunocompromised patients. Previous studies of C. albicans pathogenesis have suggested several steps must occur before virulent infection, including early adhesion, invasion, and late tissue damage. However, the mechanism that triggers C. albicans transformation from yeast to hyphae form during infection has yet to be fully elucidated. This study used a systems biology approach to investigate C. albicans infection in zebrafish. The surviving fish were sampled at different post-infection time points to obtain time-lapsed, genome-wide transcriptomic data from both organisms, which were accompanied with in sync histological analyses. Principal component analysis (PCA) was used to analyze the dynamic gene expression profiles of significant variations in both C. albicans and zebrafish. The results categorized C. albicans infection into three progressing phases: adhesion, invasion, and damage. Such findings were highly supported by the corresponding histological analysis. Furthermore, the dynamic interspecies transcript profiling revealed that C. albicans activated its filamentous formation during invasion and the iron scavenging functions during the damage phases, whereas zebrafish ceased its iron homeostasis function following massive hemorrhage during the later stages of infection. This was followed by massive hemorrhaging toward the end stage of infection. Most of the immune related genes were expressed as the infection progressed from invasion to the damage phase. Such global, inter-species evidence of virulence-immune and iron competition dynamics during C. albicans infection could be crucial in understanding control fungal pathogenesis

The Grizzly, November 2, 1993

Delta Pi Helps Out Local Church • Singel Discusses Health Care • Pi Omega Delta Awarded Banner for Blood Drive Success • Red and Gold Day a Success • Ursinus Student Has Heart • U.S. Economy Improving • U.S.G.A. Minutes • Chinese-American Novelist to Speak • Jackie Guerra: A Flop? • Literary Society • Choir to Perform Saturday • Branker Receives SAI Award • Vs.: Pearl Jam Tries to Follow a Ten • Photo Presentation Spotlights Homeless • Pencil Lovers Repressed at Ursinus • Dr. Margot Kelley Bursts my Bubble • Freshman Class to Hold Date Auction • Renowned Psychiatrist Indicted on Murder Charges • Sports Review • Intramural Volleyball to Begin November 11 • Edens and Guenther: UC Football\u27s Dynamic Duohttps://digitalcommons.ursinus.edu/grizzlynews/1323/thumbnail.jp

Gastrointestinal dysfunction in patients and mice expressing the autism-associated R451C mutation in neuroligin-3

Gastrointestinal (GI) problems constitute an important comorbidity in many patients with autism. Multiple mutations in the neuroligin family of synaptic adhesion molecules are implicated in autism, however whether they are expressed and impact GI function via changes in the enteric nervous system is unknown. We report the GI symptoms of two brothers with autism and an R451C mutation in Nlgn3 encoding the synaptic adhesion protein, neuroligin-3. We confirm the presence of an array of synaptic genes in the murine GI tract and investigate the impact of impaired synaptic protein expression in mice carrying the human neuroligin-3 R451C missense mutation (NL3R451C ). Assessing in vivo gut dysfunction, we report faster small intestinal transit in NL3R451C compared to wild-type mice. Using an ex vivo colonic motility assay, we show increased sensitivity to GABAA receptor modulation in NL3R451C mice, a well-established Central Nervous System (CNS) feature associated with this mutation. We further show increased numbers of small intestine myenteric neurons in NL3R451C mice. Although we observed altered sensitivity to GABAA receptor modulators in the colon, there was no change in colonic neuronal numbers including the number of GABA-immunoreactive myenteric neurons. We further identified altered fecal microbial communities in NL3R451C mice. These results suggest that the R451C mutation affects small intestinal and colonic function and alter neuronal numbers in the small intestine as well as impact fecal microbes. Our findings identify a novel GI phenotype associated with the R451C mutation and highlight NL3R451C mice as a useful preclinical model of GI dysfunction in autism. LAY SUMMARY: People with autism commonly experience gastrointestinal problems, however the cause is unknown. We report gut symptoms in patients with the autism-associated R451C mutation encoding the neuroligin-3 protein. We show that many of the genes implicated in autism are expressed in mouse gut. The neuroligin-3 R451C mutation alters the enteric nervous system, causes gastrointestinal dysfunction, and disrupts gut microbe populations in mice. Gut dysfunction in autism could be due to mutations that affect neuronal communication.This work was supported by an Idea Development Award from the United States Department of Defense’s Congressionally Directed Medical Research Programs (CDMRP) Autism Research Program (AR110134) to E.L.H.-Y. and J.C.B.; the Victorian Government through the Operational Infrastructure Scheme, National Health and Medical Research Council (NHMRC) project grants (APP566642 to J.C.B. and APP1047674 to E.L.H.-Y.) and the Royal Melbourne Hospital Neuroscience Foundation. E.L.H.-Y. also received an ARC Future Fellowship (FT160100126) and an RMIT Vice Chancellor’s Senior Research Fellowship which supported G.K.B. and S.H. T.S., P.U., and N.Y. were funded by grants RO1AI100914, P30-DK56338, and U01-AI24290 awards to Baylor College of Medicine funded from the National Institute of Allergy and Infectious Diseases and National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health (T.C.S.)

The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector.

The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies