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Showing papers by "Paul J. Taylor published in 2011"


Journal ArticleDOI
TL;DR: A systematic behavioral analysis of footage from closed-circuit television surveillance of public spaces revealed a pattern of third-party behaviors that prevent aggression from becoming violent and showed that conciliatory behaviors are more successful when carried out by multiple third parties than when carriedout by one person.
Abstract: Although researchers know much about the causes of aggression, they know surprisingly little about how aggression leads to violence or how violence is controlled. To explore the microregulation of violence, we conducted a systematic behavioral analysis of footage from closed-circuit television surveillance of public spaces. Using 42 incidents involving 312 people, we compared aggressive incidents that ended in violence with those that did not. Behaviors of antagonists and third parties were coded as either escalating or conciliatory acts. Results showed that third parties were more likely to take conciliatory actions than to escalate violence and that this tendency increased as group size increased. This analysis revealed a pattern of third-party behaviors that prevent aggression from becoming violent and showed that conciliatory behaviors are more successful when carried out by multiple third parties than when carried out by one person. We conclude by emphasizing the importance of collective third-party dynamics in understanding conflict resolution.

106 citations


Journal ArticleDOI
TL;DR: It is proposed that the arguments and issues presented in extremist media provide insights into authors’ intent, which may provide an evidence-base for detecting and assessing risk, and that multi-method analyses are a valuable approach to building both anevidence-based understanding of terrorist media use and a valid set of applications within terrorist informatics.
Abstract: While terrorism informatics research has examined the technical composition of extremist media, there is less work examining the content and intent behind such media. We propose that the arguments and issues presented in extremist media provide insights into authors' intent, which in turn may provide an evidence-base for detecting and assessing risk. We explore this possibility by applying two quantitative text-analysis methods to 50 online texts that incite violence as a result of the 2008/2009 Israeli military action in Gaza and the West Bank territories. The first method--a content coding system that identifies the occurrence of persuasive devices--revealed a predominance of moral proof arguments within the texts, and evidence for distinguishable `profiles' of persuasion use across different authors and different group affiliations. The second method--a corpus-linguistic technique that identifies the core concepts and narratives that authors use--confirmed the use of moral proof to create an in-group/out-group divide, while also demonstrating a movement from general expressions of discontent to more direct audience-orientated expressions of violence as conflict heightened. We conclude that multi-method analyses are a valuable approach to building both an evidence-based understanding of terrorist media use and a valid set of applications within terrorist informatics.

54 citations


Journal ArticleDOI
TL;DR: In this article, the authors hypothesize that distinct trustworthiness qualities precede the development of employees' trust and distrust in their supervisors, and they discuss how safety initiatives that focus on trust might gain by addressing the qualities that they identify.

51 citations


Journal ArticleDOI
TL;DR: Using quantitative phospho-proteomics profiling, kinase modulation by ligand and inhibitors, and data integration, an outline of the MET signaling network was generated for the CRC model.
Abstract: Colorectal cancer (CRC) is the second leading cause of death from cancer. The MET receptor tyrosine kinase and/or its ligand HGF are frequently amplified or overexpressed in CRC. It is known that tyrosine phosphorylated proteins are involved in progression and metastasis of colorectal cancer; however, little is known about the MET phospho-proteome in CRC. High resolution mass spectrometry was used to characterize immunoaffinity-purified, phosphotyrosine (pY)-containing tryptic peptides of the MET-expressing CRC cell model, DLD1. A total of 266 unambiguously identified pY sites spanning 168 proteins were identified. Quantification of mass spectrometry ion currents identified 161 pY sites, including many not previously linked to MET signaling, that were modulated in abundance by HGF stimulation. Overlay of these data with protein-protein interaction data sets suggested that many of the identified HGF-modulated phospho-proteins may be directly or indirectly associated with MET. Analysis of pY sequence motifs indicated a prevalence of Src family kinase consensus sequences, and reciprocal signaling between Src and MET was confirmed by using selective small molecule inhibitors of these kinases. Therefore, using quantitative phospho-proteomics profiling, kinase modulation by ligand and inhibitors, and data integration, an outline of the MET signaling network was generated for the CRC model.

33 citations


Journal ArticleDOI
TL;DR: The differential expression of 178 proteins, including a comprehensive panel of intermediate filament keratin proteins, was found to constitute a distinctive proteomic signature associated with the NSCLC subtypes, illustrating the potential to develop a comprehensive MS-based platform in oncologic pathology for better classification and potentially treatment of NSCLc patients.
Abstract: Nonsmall cell lung carcinoma (NSCLC) accounts for 80% of lung cancers. The most prevalent subtypes of NSCLC are adenocarcinoma (ADC) and squamous cell carcinoma (SCC), which combined account for approximately 90%. Ten resected NSCLC patient tumors (5 ADC and 5 SCC) were directly introduced into severely immune deficient (NOD-SCID) mice, and the resulting xenograft tumors were analyzed by standard histology and immunohistochemistry (IHC) and by proteomics profiling. Mass spectrometry (MS) methods involving 1- and 2-dimensional LC-MS/MS, and multiplexed selective reaction monitoring (SRM, or MRM), were applied to identify and quantify the xenograft proteomes. Hierarchical clustering of protein profiles distinguished between the ADC and SCC subtypes. The differential expression of 178 proteins, including a comprehensive panel of intermediate filament keratin proteins, was found to constitute a distinctive proteomic signature associated with the NSCLC subtypes. Epidermal growth factor receptor (EGFR) was expressed in ADC and SCC xenografts, and EGFR network activation was assessed by phosphotyrosine profiling by Western blot analysis and SRM measurement of EGFR levels, and mutation analysis. A multiplexed SRM/MRM method provided relative quantification of several keratin proteins, EGFR and plakophilin-1 in single LC-MS/MS runs. The protein quantifications by SRM and MS/MS spectral counting were associated with superior dynamic range and reproducibility but were otherwise consistent with orthogonal methods including IHC and Western immuno blotting. These findings illustrate the potential to develop a comprehensive MS-based platform in oncologic pathology for better classification and potentially treatment of NSCLC patients.

33 citations