A Tate cohomology sequence for generalized Burnside rings

Cataloged from PDF version of article.We generalize the fundamental theorem for Burnside rings to the mark morphism of plus constructions defined by Boltje. The main observation is the following: If D is a restriction functor for a finite group G, then the mark morphism φ : D+ → D+ is the same as the norm map of the Tate cohomology sequence (over conjugation algebra for G) after composing with a suitable isomorphism of D+. As a consequence, we obtain an exact sequence of Mackey functors 0 → over(Ext, ̂)γ- 1 (ρ, D) → D+ over({long rightwards arrow}, φ) D+ → over(Ext, ̂)γ0 (ρ, D) → 0 where ρ denotes the restriction algebra and γ denotes the conjugation algebra for G. Then, we show how one can calculate these Tate groups explicitly using group cohomology and give some applications to integrality conditions. © 2008 Elsevier B.V. All rights reserved

Fusion System and group actions with abelian isotropy subgroups

Cataloged from PDF version of article.We prove that if a finite group G acts smoothly on a manifold M such that all the isotropy subgroups are abelian groups with rank ≤ k, then G acts freely and smoothly on M × double struk S signn1 ×... × double struk S signnk for some positive integers n1, ..., nk. We construct these actions using a recursive method, introduced in an earlier paper, that involves abstract fusion systems on finite groups. As another application of this method, we prove that every finite solvable group acts freely and smoothly on some product of spheres, with trivial action on homology. Copyright © Edinburgh Mathematical Society 2013

Comparison of hyperpronation and supination‑flexion techniques in children presented to emergency department with painful pronation

Context: Radial head subluxation, also known as ‘pulled elbow’, ‘dislocated elbow’ or ‘nursemaid’s elbow’, is one of the most common upper extremity injuries in young children and a common reason to visit Emergency Department (ED).Aim: To compare supination of the wrist followed by flexion of the elbow (the traditional reduction technique) to hyperpronation of the wrist in the reduction of radial head subluxations (nursemaid’s elbow) maneuvers in children presented to ED with painful pronation and to determine which method is less painful by children.Settings and Design: This prospective randomize study involved a consecutive sampling of children between 1‑5 year old who were presented to the ED with painful pronation.Materials and Methods: The initial procedure was repeated if baseline functioning did not return 20 minutes after the initial reduction attempt. Failure of that technique 30 minutes after the initial reduction attempt resulted in a cross‑over to the alternate method of reduction.Statistical analysis used: Datas were analyzed using SPSS for Windows 16.0. Mean, standard deviation, independent samples t test, Chi‑square test, and paired t test were used in the assessment of pain scores before and after reduction.Results: When pain scores before and after reduction were compared between groups to determine which technique is less painful by children, no significant difference was found between groups.Conclusions: It was found that in the reduction of radial head subluxations, the hyperpronation technique is more effective in children who were presented to ED with painful pronation compared with supination‑flexion. However, there was no significant difference between these techniques in terms of pain.Key words: Child, emergency department, nursemaid’s elbow, pain, pulled elbo

Does a Quota a Day Keep the (Safety) Doctor Away? The Effect of Mandatory Observation Quotas on Safety Outcomes

Injuries and fatalities continue to occur at high rates across industries (BLS, 2018) despite attempts from researchers and practitioners to identify risks and improve operating procedures. Data analysis is currently used across other industries to improve outcomes, and the safety industry is turning to the use of big data in an attempt to lower injury rates. Despite the growing body of research including both data and safety outcomes, little has been done to understand the mechanisms of one of the most popular intervention techniques, behavior-based safety (BBS). BBS relies on human observation techniques, along with checklists, which increases the amount of reporting errors that can occur due to (a) culture, (b) the number of items and forms, and (c) production pressure. A quota system, along with these systemic barriers, may lead to adverse reporting behaviors, which reduces the utility of the reports in analysis (e.g. predicting safety outcomes). Accordingly, this research will examine the effects of a mandatory quota system on data quality and consequently on safety outcomes

Developing an Analytics Strategy to Describe, Diagnose, and Predict Workplace Safety Outcomes

Evidence-based management practices that include big-data mining strategies have become commonplace in many areas of organizational management and have been shown to be effective. However, organizations have yet to fully take advantage of these analytic methods to improve their occupational safety. The proposed study aims to address this gap by developing a strategy to utilize data that organizations are already collecting to describe, diagnose, and predict workplace safety outcomes. The five proposed predictor variable categories are production, procedures, hazards, behaviors, and participation. Data will be collected from a large American Fortune 500 company that specializes in the production of advanced materials, chemicals, and fibers for everyday purposes

Nutritional status in Turkish cystic fibrosis patients

Digitalitzat per Artypla

Suffering from Whiplash? The Effects of Pencil Whipping on Data Variability in the Safety Industry

Big data is being used by organizations to identify trends and predict future safety incidents. However, analytics using big data relies heavily on data quality, which can be compromised by a lack of data variability. In the safety industry, the data reports most frequently analyzed include checklists that are filled out by managers and operators, and research is being attempted to link the variables from these reports to safety outcomes. A major obstacle is the reduced variability in these reports due to a phenomenon known as “pencil whipping.” Pencil whipping occurs when an employee completes a safety checklist during behavior-based safety observation without actually carrying out the work required (e.g., checking “safe” all the way down the checklist; Ludwig 2014). In order to run analyses that will create targeted interventions, organizations need to reduce pencil-whipping in their reports. This study will attempt to identify data markers of pencil whipping and will investigate the effects of pencil whipping on data variability and analysis

Зміст і закономірності економічного зростання при інтенсифікації виробництва

Composite noble metal-based nanorods for which the surface plasmon resonances can be tuned by composition and geometry are highly interesting for applications in biotechnology, imaging, sensing, optoelectronics, photovoltaics, and catalysis. Here, we present an approach for the oxidative etching and subsequent metal overgrowth of gold nanorods, all taking place while the nanorods are embedded in mesoporous SiO2 shells (AuNRs@meso-SiO2). Heating of the AuNRs@meso-SiO2 in methanol with HCl resulted in reproducible oxidation of the AuNRs by dissolved O2, specifically at the rod ends, enabling precise control over the aspect ratio of the rods. The etched-AuNRs@meso-SiO2 were used as a template for the overgrowth of a second metal (Ag, Pd, and Pt), yielding bimetallic, core-shell structured nanorods. By varying the reaction rates of the metal deposition both smooth core-shell structures or gold nanorods covered with a dendritic overlayer could be made. This control over the morphology, including metal composition, and thus the plasmonic properties of the composite rods were measured experimentally and also confirmed by Finite-Difference Time-Domain (FDTD) calculations. The presented synthesis method gives great control over tuning over both plasmonic properties and the particle stability/affinity for specific applications

Evaluation of inhibitory effects of benzothiazole and 3-amino-benzothiazolium derivatives on DNA topoisomerase II by molecular modeling studies

There has been considerable interest in DNA topoisomerases over the last decade, as they have been shown to be one of the major cellular targets in anticancer drug development. Previously we synthesized some benzothiazole derivatives and corresponding benzothiazolium forms, and tested their DNA inhibitory activity to develop novel antitumor agents. Among the 12 prepared compounds, compound BM3 (3-aminobenzothiazole-3-ium 4-methylbenzene sulfonate) exhibited extreme topoisomerase II inhibitory activity compared with the reference drug etoposide. We also tried to determine the DNA and enzyme binding abilities of BM3 and found that BM3 acted on topoisomerase II first at low doses, while it had also showed DNA minor groove binding properties at higher doses. In this study the interactions between DNA topoisomerase II and the compounds were examined in detail by molecular modelling studies such as molecular docking and pharmacophore analysis performed using Discovery Studio 3.5. As a result, it was found that benzothiazolium compounds exhibited a totally different mechanism than benzothiazoles by binding to the different amino acids at the active site of the protein molecule. 3-Aminobenzothiazoliums are worthy of carrying onto anticancer studies; BM3 especially would be a good anticancer candidate for preclinical studies. © 2014 Taylor & Francis

ParaDIME: Parallel Distributed Infrastructure for Minimization of Energy for data centers

Dramatic environmental and economic impact of the ever increasing power and energy consumption of modern computing devices in data centers is now a critical challenge. On the one hand, designers use technology scaling as one of the methods to face the phenomenon called dark silicon (only segments of a chip function concurrently due to power restrictions). On the other hand, designers use extreme-scale systems such as teradevices to meet the performance needs of their applications which in turn increases the power consumption of the platform. In order to overcome these challenges, we need novel computing paradigms that address energy efficiency. One of the promising solutions is to incorporate parallel distributed methodologies at different abstraction levels. The FP7 project ParaDIME focuses on this objective to provide different distributed methodologies (software-hardware techniques) at different abstraction levels to attack the power-wall problem. In particular, the ParaDIME framework will utilize: circuit and architecture operation below safe voltage limits for drastic energy savings, specialized energy-aware computing accelerators, heterogeneous computing, energy-aware runtime, approximate computing and power-aware message passing. The major outcome of the project will be a noval processor architecture for a heterogeneous distributed system that utilizes future device characteristics, runtime and programming model for drastic energy savings of data centers. Wherever possible, ParaDIME will adopt multidisciplinary techniques, such as hardware support for message passing, runtime energy optimization utilizing new hardware energy performance counters, use of accelerators for error recovery from sub-safe voltage operation, and approximate computing through annotated code. Furthermore, we will establish and investigate the theoretical limits of energy savings at the device, circuit, architecture, runtime and programming model levels of the computing stack, as well as quantify the actual energy savings achieved by the ParaDIME approach for the complete computing stack with the real environment