Beyond Argument

Accounts of deep disagreements can generally be categorized as optimistic or pessimistic. Pessimistic interpretations insist that the depth of deep disagreements precludes the possibility of rational resolution altogether, while optimistic variations maintain the contrary. Despite both approaches’ respective positions, they nevertheless often, either explicitly or implicitly, agree on the underlying assumption that argumentation offers the only possible rational resolution to deep disagreements. This paper challenges that idea by, first, diagnosing this argument-only model of arriving at rational resolutions, second, articulating a competing but undertheorized Hegelian-informed approach, and third, attending briefly to some of the challenges of such an approach

Agent-Based Overlapping Generations Modeling for Educational Policy Analysis

Educational systems are complex adaptive systems (CAS). The macroeffects of an educational policy emerge from and depend on individual students\u27 reactions to the policy. However, educational policymakers traditionally rely on equation-based models, which are deficient in reflecting the work of microbehaviors. Using inappropriate tools to make policies may be a reason why there were many unintended educational consequences in history. A proper methodology to design and analyze policies for complex educational systems is agent-based modeling (ABM). Grounded in the theories of CAS and computational irreducibility, ABM is capable of connecting microbehaviors with macropatterns. The purpose of this study was to contribute to the application of ABM in educational policy analysis by constructing an agent-based overlapping generations model with hypothesized inputs to qualitatively represent the environment of the Taipei School District. Four research questions explored the effects of Taipei\u27s 2016 student-assignment mechanism and its free tuition policy on educational opportunity and school quality under different assumptions of students\u27 school-choice strategies. The simulated outputs were analyzed using descriptive statistics and paired samples t tests. The findings, which could hardly be revealed by traditional models, showed that the effects were complex and depended on students\u27 strategies along with the number of choices students were allowed to make; the assignment outcomes for elite students were robust to the mechanism, and the free tuition policy worsened school quality. Although exploratory, these findings can serve as hypotheses and a guide for Taipei\u27s policymakers to collect empirical data in evaluating their 2016 mechanism and tuition policy

What drives technology innovation among the emerging Chinese enterprises?

In the light of rapid development of technology/knowledge intensive firms arising from the emerging economy of China in recent time, this paper is aimed at developing an analytical framework, based on the institutional theory and resource-based view, to evaluate the drivers and antecedents of technology innovation among Chinese emerging multinational enterprises (MNEs). Use of case study approach, the study examined two large Chinese enterprises in Wuhan and found that a linear sequential pattern of technology innovation did not apply. In contrast, two enterprises investigated tended to combine several types of innovation (strategic cost, organisational and operational innovation) to manage their internal capabilities and other organisational activities and routines to change, learn, adapt and create technology innovation. Our finding in this study also suggests that the key factor for Chinese firms to be innovative is more internally driven by several human resource management strategies that helped build technological capabilities effectively. Main implications of this study are that organisational human resource managers, technology and system designers should work together to design and develop enterprise management systems conducive to enhance both technology and human creativity for emerging Chinese multinational enterprises.<br /

Teaching Case: Read to Win: Using the Game-based System Design Framework to Gamify a Summer Reading Program

The use of gamification for organizational initiatives, like increased foot traffic and customer engagement, is on the rise. As such, recent information systems graduates may find themselves on project teams aimed at making decisions about gamification efforts. Currently, information systems curriculum doesn’t typically address the use of specific frameworks to design and document requirements for a game-based information system to meet a business need. This teaching case exposes students to the use of the Game-based System Design Framework in combination with the Game-based System Design Diagram to enhance student learning around the design and documentation of a gamified information system. This case could be used in an undergraduate or graduate program in either a systems analysis and design or a capstone course. Use of this case assumes that students have a basic understanding of business requirements gathering and project scope statements. Additionally, in order to develop a solution to this case, it must be used in conjunction with the article “All Work and All Play? A Framework to Design Game-based Information Systems” (Barber et al., 2021)

Increasing external effects negate local efforts to control ozone air pollution: a case study of Hong Kong and implications for other Chinese cities.

It is challenging to reduce ground-level ozone (O3) pollution at a given locale, due in part to the contributions of both local and distant sources. We present direct evidence that the increasing regional effects have negated local control efforts for O3 pollution in Hong Kong over the past decade, by analyzing the daily maximum 8 h average O3 and Ox (=O3+NO2) concentrations observed during the high O3 season (September-November) at Air Quality Monitoring Stations. The locally produced Ox showed a statistically significant decreasing trend over 2002-2013 in Hong Kong. Analysis by an observation-based model confirms this decline in in situ Ox production, which is attributable to a reduction in aromatic hydrocarbons. However, the regional background Ox transported into Hong Kong has increased more significantly during the same period, reflecting contributions from southern/eastern China. The combined result is a rise in O3 and a nondecrease in Ox. This study highlights the urgent need for close cross-boundary cooperation to mitigate the O3 problem in Hong Kong. China's air pollution control policy applies primarily to its large cities, with little attention to developing areas elsewhere. The experience of Hong Kong suggests that this control policy does not effectively address secondary pollution, and that a coordinated multiregional program is required

Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates.

ObjectiveMedical billing data are an attractive source of secondary analysis because of their ease of use and potential to answer population-health questions with statistical power. Although these datasets have known susceptibilities to biases, the degree to which they can distort the assessment of quality measures such as colorectal cancer screening rates are not widely appreciated, nor are their causes and possible solutions.MethodsUsing a billing code database derived from our institution's electronic health records, we estimated the colorectal cancer screening rate of average-risk patients aged 50-74 years seen in primary care or gastroenterology clinic in 2016-2017. 200 records (150 unscreened, 50 screened) were sampled to quantify the accuracy against manual review.ResultsOut of 4611 patients, an analysis of billing data suggested a 61% screening rate, an estimate that matches the estimate by the Centers for Disease Control. Manual review revealed a positive predictive value of 96% (86%-100%), negative predictive value of 21% (15%-29%) and a corrected screening rate of 85% (81%-90%). Most false negatives occurred due to examinations performed outside the scope of the database-both within and outside of our institution-but 21% of false negatives fell within the database's scope. False positives occurred due to incomplete examinations and inadequate bowel preparation. Reasons for screening failure include ordered but incomplete examinations (48%), lack of or incorrect documentation by primary care (29%) including incorrect screening intervals (13%) and patients declining screening (13%).ConclusionsBilling databases are prone to substantial bias that may go undetected even in the presence of confirmatory external estimates. Caution is recommended when performing population-level inference from these data. We propose several solutions to improve the use of these data for the assessment of healthcare quality

Membrane-Active Epithelial Keratin 6A Fragments (KAMPs) Are Unique Human Antimicrobial Peptides with a Non-αβ Structure.

Antibiotic resistance is a pressing global health problem that threatens millions of lives each year. Natural antimicrobial peptides and their synthetic derivatives, including peptoids and peptidomimetics, are promising candidates as novel antibiotics. Recently, the C-terminal glycine-rich fragments of human epithelial keratin 6A were found to have bactericidal and cytoprotective activities. Here, we used an improved 2-dimensional NMR method coupled with a new protocol for structural refinement by low temperature simulated annealing to characterize the solution structure of these kerain-derived antimicrobial peptides (KAMPs). Two specific KAMPs in complex with membrane mimicking sodium dodecyl sulfate (SDS) micelles displayed amphipathic conformations with only local bends and turns, and a central 10-residue glycine-rich hydrophobic strip that is central to bactericidal activity. To our knowledge, this is the first report of non-αβ structure for human antimicrobial peptides. Direct observation of Staphylococcus aureus and Pseudomonas aeruginosa by scanning and transmission electron microscopy showed that KAMPs deformed bacterial cell envelopes and induced pore formation. Notably, in competitive binding experiments, KAMPs demonstrated binding affinities to LPS and LTA that did not correlate with their bactericidal activities, suggesting peptide-LPS and peptide-LTA interactions are less important in their mechanisms of action. Moreover, immunoprecipitation of KAMPs-bacterial factor complexes indicated that membrane surface lipoprotein SlyB and intracellular machineries NQR sodium pump and ribosomes are potential molecular targets for the peptides. Results of this study improve our understanding of the bactericidal function of epithelial cytokeratin fragments, and highlight an unexplored class of human antimicrobial peptides, which may serve as non-αβ peptide scaffolds for the design of novel peptide-based antibiotics

Allosteric response and substrate sensitivity in peptide binding of the signal recognition particle

We characterize the conformational dynamics and substrate selectivity of the signal recognition particle (SRP) using a thermodynamic free energy cycle approach and microsecond-timescale molecular dynamics simulations. The SRP is a central component of the co-translational protein targeting machinery that binds to the N-terminal signal peptide (SP) of nascent proteins. We determined the shift in relative conformational stability of the SRP upon substrate binding to quantify allosteric coupling between SRP domains. In particular, for dipeptidyl aminopeptidase, an SP that is recognized by the SRP for co-translational targeting, it is found that substrate binding induces substantial changes in the SRP towards configurations associated with targeting of the nascent protein, and it is found that the changes are modestly enhanced by a mutation that increases the hydrophobicity of the SP; however for alkaline phosphotase, an SP that is recognized for post-translational targeting, substrate binding induces the reverse change in the SRP conformational distribution away from targeting configurations. Microsecond-timescale trajectories reveal the intrinsic flexibility of the SRP conformational landscape and provide insight into recent single-molecule studies by illustrating that 10 nm lengthscale changes between FRET pairs occur via the rigid-body movement of SRP domains connected by the flexible linker region. In combination, these results provide direct evidence for the hypothesis that substrate-controlled conformational switching in the SRP provides a mechanism for discriminating between different SPs and for connecting substrate binding to downstream steps in the protein targeting pathway