Search results for "Minimum"
showing 10 items of 327 documents
The chaotic Dadras–Momeni system: control and hyperchaotification
2015
In this paper a novel three-dimensional autonomous chaotic system, the so called Dadras-Momeni system, is considered and two different control techniques are employed to realize chaos control and chaos synchronization. Firstly, the optimal control of the chaotic system is discussed and an open loop feedback controller is proposed to stabilize the system states to one of the system equilibria, minimizing the cost function by virtue of the Pontryagin’s minimum principle. Then, an adaptive control law and an update rule for uncertain parameters, based on Lyapunov stability theory, are designed both to drive the system trajectories to an equilibrium or to realize a complete synchronization of t…
The shadow price of foreign exchange with minimum wages
2001
Abstract This note derives the shadow price of foreign exchange in a small open economy with minimum wage unemployment under tariffs, quotas and voluntary export restraints. The analysis is conducted in a dual general equilibrium framework with many goods and factors.
Single-Target Implicit Association Tests (ST-IAT) Predict Voting Behavior of Decided and Undecided Voters in Swiss Referendums
2016
Undecided voters represent a major challenge to political pollsters. Recently, political psychologists have proposed the use of implicit association tests (IAT) to measure implicit attitudes toward political parties and candidates and predict voting behavior of undecided voters. A number of studies have shown that both implicit and explicit (i.e., self-reported) attitudes contribute to the prediction of voting behavior. More importantly, recent research suggests that implicit attitudes may be more useful for predicting the vote of undecided voters in the case of specific political issues rather than elections. Due to its direct-democratic political system, Switzerland represents an ideal pl…
DALI: Defining Antibiotic Levels in Intensive Care Unit Patients: Are Current -Lactam Antibiotic Doses Sufficient for Critically Ill Patients?
2014
Background. Morbidity and mortality for critically ill patients with infections remains a global healthcare problem. We aimed to determine whether α-lactam antibiotic dosing in critically ill patients achieves concentrations associated with maximal activity and whether antibiotic concentrations affect patient outcome.Methods. This was a prospective, multinational pharmacokinetic point-prevalence study including 8 α-lactam antibiotics. Two blood samples were taken from each patient during a single dosing interval. The primary pharmacokinetic/pharmacodynamic targets were free antibiotic concentrations above the minimum inhibitory concentration (MIC) of the pathogen at both 50% (50% f TMIC) an…
Low-Flow Desflurane and Sevoflurane Anesthesia Minimally Affect Hepatic Integrity and Function in Elderly Patients: Retracted
2000
UNLABELLED Hepatic blood flow is reduced in a dose-related manner by all inhaled anesthetics now in use. We assessed hepatic function in elderly patients anesthetized with desflurane or sevoflurane. We measured the cytosolic liver enzyme alpha glutathione S-transferase (alpha GST), the formation of the lidocaine metabolite monoethylglycinexylidide (MEGX), and gastric mucosal tonometry-derived variables as sensitive markers of hepatic function and splanchnic perfusion. Thirty patients, 70 to 90 yr old, were allocated randomly to receive desflurane or sevoflurane anesthesia. Anesthetic exposure ranged from 2.1-4.5 minimum alveolar concentration hours. No significant changes in standard liver …
Dysfunction of attention switching networks in amyotrophic lateral sclerosis
2019
Objective To localise and characterise changes in cognitive networks in Amyotrophic Lateral Sclerosis (ALS) using source analysis of mismatch negativity (MMN) waveforms. Rationale The MMN waveform has an increased average delay in ALS. MMN has been attributed to change detection and involuntary attention switching. This therefore indicates pathological impairment of the neural network components which generate these functions. Source localisation can mitigate the poor spatial resolution of sensor-level EEG analysis by associating the sensor-level signals to the contributing brain sources. The functional activity in each generating source can therefore be individually measured and investigat…
Euphorbia honey and garlic: Biological activity and burn wound recovery
2019
Currently, chronic wounds and microbial resistance to antibiotics have led to search new healing agents. Combinations of natural products are widely practiced in traditional medicine and exhibited synergistic activity with increased efficacy in treating several pathologies. This study assays the antioxidant, synergistic antimicrobial and burn wound healing activities of Euphorbia honey and Allium sativum (garlic). The minimal inhibitory concentration (MIC) of each natural product was determined against microorganisms commonly found in wound infections. The synergistic antimicrobial effect was assessed by mixing different concentrations of honey and garlic extract below their relative MICs. …
Hospitalisation Cost of Patients with Diabetic Foot Ulcers in Valencia (Spain) in the Period 2009–2013: A Retrospective Descriptive Analysis
2018
Ulcers are the main cause of hospitalisation and clinical complications in patients with diabetes. We analyse the length and cost of hospital stay of patients with diabetic foot ulcers, taking into consideration that hospitalisation and, if necessary, amputation represent the greatest area of expense to the healthcare system for such patients. This analysis focuses on the treatment provided to these patients in public hospitals in the region of Valencia (Spain), registered in the Spanish Minimum Basic Data Set, during the period 2009&ndash
Strictly convex variable cost does not imply U-shaped average cost
2016
Abstract We show that strictly convex variable costs do not imply U-shaped average costs and provide a sufficient condition for U-shaped average costs. As an application we study endogenous entry when firms have market power and they have decreasing average cost but increasing marginal cost.
A new minimum spanning tree-based method for shape description and matching working in Discrete Cosine space
2009
In this article, a new minimum spanning tree-based method for shape description and matching is proposed. Its properties are checked through the problem of graphical symbols recognition. Recognition invariance in front shift and multi-oriented noisy objects was studied in the context of small and low resolution binary images. The approach seems to have many desirable properties, even if the construction of graphs induces an expensive algorithmic cost. In order to reduce time computing, an alternative solution based on image compression concepts is provided. The recognition is realized in a compact space, namely the Discrete Cosine space. The use of block discrete cosine transform is discuss…