A Semantic Web of Know-How: Linked Data for Community-Centric Tasks

This paper proposes a novel framework for representing community know-how on the Semantic Web. Procedural knowledge generated by web communities typically takes the form of natural language instructions or videos and is largely unstructured. The absence of semantic structure impedes the deployment of many useful applications, in particular the ability to discover and integrate know-how automatically. We discuss the characteristics of community know-how and argue that existing knowledge representation frameworks fail to represent it adequately. We present a novel framework for representing the semantic structure of community know-how and demonstrate the feasibility of our approach by providing a concrete implementation which includes a method for automatically acquiring procedural knowledge for real-world tasks.Comment: 6th International Workshop on Web Intelligence & Communities (WIC14), Proceedings of the companion publication of the 23rd International Conference on World Wide Web (WWW 2014

Social Networks and the Challenge of Hate Disguised as Fear and Politics

This case study examines social networks as the modern intersections of radical discourse and political extremism. But, as this research will show, extremist content in social networks, even that which has telegraphed violent hate crimes, is seldom communicated in textbook forms bigotry or provocations of violence. Today, the true challenge for social networks like Facebook and Twitter is addressing hate speech that reads more like fear mongering and identity politics, and thus, does not get flagged by monitors. From accounts dedicated to inciting fear over the “threat of immigrants” or “black crime,” to groups that form around hashtags declaring that a “#whitegenocide” is underway. These narratives represent the more ubiquitous versions of hate culture that permeate these popular spaces and radicalize cultural discourses happening there. This case study explores how such rhetoric has the same capacity to deliver messages of hate, and even incite violence, by investigating six hate crimes from 2019 that were preceded by social media diatribes. The comparative analysis will show how these examples mostly featured nonviolent expressions of cultural paranoia, rather than avowals of violence or traditional hate speech, thus making them harder to detect by programs seeking out such threats in plain sight. The research then examines the user policies of leading social networks to assess whether their guidelines on hateful and violent content are purposed to address the kinds of language that were espoused by these violent extremists. The study considers the strategies being employed by social networks to expose hateful content of all forms, and the need for more prominent counter narratives

The End of Al Qaeda? Rethinking the Legal End of the War on Terror

As the war on terrorism approaches its second decade, the open-ended nature of the 2001 Authorization for the Use of Military Force (AUMF) has given rise to the legal question of when, and how, the conflict will end. The indeterminate nature of the conflict has raised fears that the war powers will continue to be exercised indefinitely-a prospect noted with concern by the Supreme Court in Boumediene v. Bush. The prevailing view among legal scholars is that under existing precedents, the AUMF and the concomitant war powers will continue indefinitely in force until the political branches officially declare the conflict to have ended. This Note argues that this binary, on/off\u27 model of conflict termination is ill-adapted to a war against a rapidly evolving, amorphous terrorist threat. Contrary to the monolithic conception of terrorism relied upon by many legal scholars, the nature and structure of the terrorist threat are disputed within the counterterrorism community. Some analysts argue that the primary terrorist threat to the United States emanates from the hierarchically organized core al Qaeda based in the Pakistani tribal areas; others, from a decentralized leaderless jihad conducted by self-directed homegrown terrorists. This Note uses this debate, together with recent historical studies analyzing how terrorist groups end, as a lens through which to demonstrate how the amorphous, evolving nature of the al Qaeda threat undermines the prevailing on/off model of the legal end of the war on terrorism. It concludes by suggesting principles for constructing a more apt legal model of how and when the war on terrorism, and the legal authorities for fighting it, will come to an end

Those Who Could Not Wander And The Creation Of A State: The Jews And The Palestinians

When Jesus was in Jerusalem carrying his Cross to Cavalry, he took a moment to pause on a man\u27s doorstep

Algorithms for integrated analysis of glycomics and glycoproteomics by LC-MS/MS

The glycoproteome is an intricate and diverse component of a cell, and it plays a key role in the definition of the interface between that cell and the rest of its world. Methods for studying the glycoproteome have been developed for released glycan glycomics and site-localized bottom-up glycoproteomics using liquid chromatography-coupled mass spectrometry and tandem mass spectrometry (LC-MS/MS), which is itself a complex problem. Algorithms for interpreting these data are necessary to be able to extract biologically meaningful information in a high throughput, automated context. Several existing solutions have been proposed but may be found lacking for larger glycopeptides, for complex samples, different experimental conditions, different instrument vendors, or even because they simply ignore fundamentals of glycobiology. I present a series of open algorithms that approach the problem from an instrument vendor neutral, cross-platform fashion to address these challenges, and integrate key concepts from the underlying biochemical context into the interpretation process. In this work, I created a suite of deisotoping and charge state deconvolution algorithms for processing raw mass spectra at an LC scale from a variety of instrument types. These tools performed better than previously published algorithms by enforcing the underlying chemical model more strictly, while maintaining a higher degree of signal fidelity. From this summarized, vendor-normalized data, I composed a set of algorithms for interpreting glycan profiling experiments that can be used to quantify glycan expression. From this I constructed a graphical method to model the active biosynthetic pathways of the sample glycome and dig deeper into those signals than would be possible from the raw data alone. Lastly, I created a glycopeptide database search engine from these components which is capable of identifying the widest array of glycosylation types available, and demonstrate a learning algorithm which can be used to tune the model to better understand the process of glycopeptide fragmentation under specific experimental conditions to outperform a simpler model by between 10% and 15%. This approach can be further augmented with sample-wide or site-specific glycome models to increase depth-of-coverage for glycoforms consistent with prior beliefs

To boldly go:an occam-π mission to engineer emergence

Future systems will be too complex to design and implement explicitly. Instead, we will have to learn to engineer complex behaviours indirectly: through the discovery and application of local rules of behaviour, applied to simple process components, from which desired behaviours predictably emerge through dynamic interactions between massive numbers of instances. This paper describes a process-oriented architecture for fine-grained concurrent systems that enables experiments with such indirect engineering. Examples are presented showing the differing complex behaviours that can arise from minor (non-linear) adjustments to low-level parameters, the difficulties in suppressing the emergence of unwanted (bad) behaviour, the unexpected relationships between apparently unrelated physical phenomena (shown up by their separate emergence from the same primordial process swamp) and the ability to explore and engineer completely new physics (such as force fields) by their emergence from low-level process interactions whose mechanisms can only be imagined, but not built, at the current time

Advancements in mass spectrometry for biological samples: Protein chemical cross-linking and metabolite analysis of plant tissues

This thesis presents work on advancements and applications of methodology for the analysis of biological samples using mass spectrometry. Included in this work are improvements to chemical cross-linking mass spectrometry (CXMS) for the study of protein structures and mass spectrometry imaging and quantitative analysis to study plant metabolites. Applications include using matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) to further explore metabolic heterogeneity in plant tissues and chemical interactions at the interface between plants and pests. Additional work was focused on developing liquid chromatography-mass spectrometry (LC-MS) methods to investigate metabolites associated with plant-pest interactions. The first chapter includes an introduction into CXMS and MS-based metabolite analysis and the sixth and final chapter includes a brief summary of the work and future directions based on the work presented here. The second chapter discusses the limitations of chemical cross-linking mass spectrometry, and steps taken to overcome these. This includes the incorporation of hydrogen-deuterium exchange mass spectrometry (HDX/MS) to identify the presence of structural distortion caused by the chemical cross-linking reaction. The use of extracted ion chromatograms (XIC) to increase cross-linking detection efficiency is also discussed. The third chapter focuses on the application of MALDI-MSI to investigate seedling maize leaf tissues. Metabolites related to the photosynthetic process are compared at different locations along the leaves of two inbred genotypes. The localization and relative abundances of phosphatidylglycerols (PG) and sulfoquinovosyl diacylglycerols (SQDG) are described in detail. The fourth chapter illustrates how imprinting MSI can be used to study the chemical interface between plants and pests. The interaction between soybean aphids and soybean leaves was studied using MALDI-MSI on imprints of infested leaves. These experiments revealed the spatial distribution of numerous metabolites, including compounds involved in the plant-pest interaction. The fifth chapter discusses the development of a methodology to determine quaternary ammonium compounds (QACs) in plant samples. Hydrophilic interaction liquid chromatography (HILIC) mass spectrometry was used to quantitatively and qualitatively analyze common bean seed exudates. This work was focused on QACs that bacteria are known to uptake for osmoprotection and nutritional benefits

A Case Report of Coronavirus Disease 2019 Presenting with Tremors and Gait Disturbance

Introduction: Neurologic symptoms present as significant complications of coronavirus disease 2019 (COVID-19) infection. This report describes a novel manifestation of tremors triggered by severe acute respiratory syndrome coronavirus 2 infection.Case Presentation: We describe a case of a 46-year-old man with COVID-19 infection complicated by a bilateral intention tremor and wide-based gait. Although neurological manifestations have been reported related to COVID-19, tremulousness has not yet been described.Conclusion: Considering the evolving diversity of neurologic manifestations in this infection, emergency physicians should be vigilant of possible COVID-19 infection in patients presenting with unexplained neurologic symptoms

Preventive Detention in American Theory and Practice

It is something of an article of faith in public and academic discourse that preventive detention runs counter to American values and law. This meme has become standard fare among human rights groups and in a great deal of legal scholarship. It treats the past nine years of extra-criminal detention of terrorism suspects as an extraordinary aberration from a strong American constitutional norm, under which government locks up citizens pursuant only to criminal punishment, not because of mere fear of their future acts. This argument further asserts that any statutory counterterrorism administrative detention regime would be a radical departure from this norm, an institutionalization of the aberration that the detention practices of the Bush and Obama years have represented. The more careful commentators acknowledge that the rule has exceptions – sometimes even many of them. But they describe these exceptions as narrow and limited, deviations from a generally strong rule that the American system tolerates to accommodate exceptional circumstances. The trouble with such civic mythology is that it is, ultimately, an inaccurate description of past practice, and thus a misleading indicator of the theory on which such practice rested. Our purpose in this paper is to describe just how mythological this particular civic myth is – indeed, to show that nearly every aspect of it is false: Preventive detention is not prohibited by U.S. law or especially frowned upon in tradition or practice. The circumstances in which it arises are not isolated exceptions to a strong rule against it; rather, they are relatively frequent. The federal government and all 50 states together possess a wide range of statutory preventive detention regimes that are frequently used, many of which provoke little social or legal controversy

Chromatin insulator elements: establishing barriers to set heterochromatin boundaries

Epigenomic profiling has revealed that substantial portions of genomes in higher eukaryotes are organized into extensive domains of transcriptionally repressive chromatin. The boundaries of repressive chromatin domains can be fixed by DNA elements known as barrier insulators, to both shield neighboring gene expression and to maintain the integrity of chromosomal silencing. Here, we examine the current progress in identifying vertebrate barrier elements and their binding factors. We overview the design of the reporter assays used to define enhancer-blocking and barrier insulators. We look at the mechanisms vertebrate barrier proteins, such as USF1 and VEZF1, employ to counteract Polycomb- and heterochromatin-associated repression. We also undertake a critical analysis of whether CTCF could also act as a barrier protein. There is good evidence that barrier elements in vertebrates can form repressive chromatin domain boundaries. Future studies will determine whether barriers are frequently used to define repressive domain boundaries in vertebrates