Portfolios Effective Time Formation/Holding Period Based On Momentum Investment Strategy

This paper examines the momentum investment strategy based on past market information to evaluate performance, time formation/holding period and seasonality impact on the Canadian Market. In doing so, we assess the effectiveness of portfolio formation and holding periods of this strategy. Utilizing variant models of different methodologies, we find strong evidence that assesses a 9 month formation and a 9 month holding period as the most effective formation/holding period in implementing a Momentum Investment Strategy when the formation period begins in January. We also find that regardless of when the formation period begins, the most effective portfolio will be held for 9 months beginning in October. While these findings confirm the short term nature of this investment strategy, they however differ in terms of the length of formation/holding periods commonly utilized in the literature. The shortness of the actual effective formation/holding periods may be caused mainly by the growing knowledgeable participants in the market. Investors who base their portfolio construction on momentum investment strategy would achieve higher returns by shortening their portfolio formation/holding periods

There is No Work-Life Balance

We often find ourselves speaking to audiences of law students and new lawyers who are trying to figure out what their future as practicing attorneys will look like. At some point, typically toward the end of our remarks, a hand goes up and a dreaded question - as reliable as the law of gravity - lands with a thud: Do you have any advice as to how to achieve the right work-life balance

Kids, Caregivers, and Cartoons: The Impact of Licensed Characters on Food Choices and Consumption

This research examines effects of on-package licensed characters on children’s and caregivers’ choices of healthy and indulgent food and children’s consumption amount. The authors propose that food liking exerts the greatest influence on children’s choices and consumption, such that the impact of on-package characters will be limited to choices between equally liked options. Caregivers’ choices are primarily influenced by their food goals for their children; thus, the impact of characters will likewise be limited to caregivers’ within-category choices. Two experiments show that a character influences children’s choices between two same-category options but not between indulgent and healthier options. A third experiment reveals that food liking influences amount consumed, while the presence of a character influences neither amount consumed nor food liking. Two additional experiments show that characters influence caregivers’ choice between the same foods, but not between different food types or intention to purchase a food. The expanded framework for the effects of licensed characters—taking into account choice versus consumption, children versus caregivers, and healthy versus unhealthy foods—enhances understanding for consumers, practitioners, and policy makers

Breaking New Ground in Computational Psychiatry:Model-Based Characterization of Forgetting in Healthy Aging and Mild Cognitive Impairment

Computational models of memory used in adaptive learning settings trace a learner’s memory capacities. However, less work has been done on the implementation of these models in the clinical realm. Current assessment tools lack the reliable, convenient, and repeatable qualities needed to capture the individualized and evolving nature of memory decline. The goal of this project was to predict and track memory decline in subjectively- or mildly cognitively impaired (MCI) individuals by using a model-based, adaptive fact-learning system. Here we present data demonstrating that these tools can diagnose mild memory impairment with over 80% accuracy after a single 8-minute learning session. These findings provide new insights into the nature and progression of memory decline and may have implications for the early detection and management of Alzheimer’s disease and other forms of dementia

Deterministic Chaos in Blood Pressure Signals During Different Physiological Conditions

Several coupled and nonlinear controlling mechanisms are involved in the regulation of blood pressure. The possible presence of chaos in physiological signals has been the subject of some research. In this study, blood pressure signals were analysed using a range of nonlinear time series analysis techniques. Individual effectors of blood pressure were either experimentally removed or enhanced, so that the controlling mechanisms that are responsible for the chaotic nature of the signals may be identified by chaotic analysis of the signals. The level of chaos varied across the different experimental conditions, showing a distinct decrease from control conditions to all other experimental conditions

Deterministic Chaos in Blood Pressure Signals During Different Physiological Conditions

Several coupled and nonlinear controlling mechanisms are involved in the regulation of blood pressure. The possible presence of chaos in physiological signals has been the subject of some research. In this study, blood pressure signals were analysed using a range of nonlinear time series analysis techniques. Individual effectors of blood pressure were either experimentally removed or enhanced, so that the controlling mechanisms that are responsible for the chaotic nature of the signals may be identified by chaotic analysis of the signals. The level of chaos varied across the different experimental conditions, showing a distinct decrease from control conditions to all other experimental conditions

Learnings From a National Cyberattack Digital Disaster During the SARS-CoV-2 Pandemic in a Pediatric Emergency Medicine Department

Objective: The primary objective was to analyze the impact of the national cyberattack in May 2021 on patient flow and data quality in the Paediatric Emergency Department (ED), amid the SARS-CoV-2 (COVID-19) pandemic. Methods: A single site retrospective time series analysis was conducted of three 6-week periods: before, during, and after the cyberattack outage. Initial emergent workflows are described. Analysis includes diagnoses, demographic context, key performance indicators, and the gradual return of information technology capability on ED performance. Data quality was compared using 10 data quality dimensions. Results: Patient visits totaled 13 390. During the system outage, patient experience times decreased significantly, from a median of 188 minutes (pre-cyberattack) down to 166 minutes, most notable for the period from registration to triage, and from clinician review to discharge (excluding admitted patients). Following system restoration, most timings increased. Data quality was significantly impacted, with data imperfections noted in 19.7% of data recorded during the system outage compared to 4.7% before and 5.1% after. Conclusions: There was a reduction in patient experience time, but data quality suffered greatly. A hospital’s major emergency plan should include provisions for digital disasters that address essential data requirements and quality as well as maintaining patient flow

Dynamic baroreflex control of blood pressure: influence of the heart vs. peripheral resistance

The aim in the present experiments was to assess the dynamic baroreflex control of blood pressure, to develop an accurate mathematical model that represented this relationship, and to assess the role of dynamic changes in heart rate and stroke volume in giving rise to components of this response. Patterned electrical stimulation [pseudo-random binary sequence (PRBS)] was applied to the aortic depressor nerve (ADN) to produce changes in blood pressure under open-loop conditions in anesthetized rabbits. The stimulus provided constant power over the frequency range 0–0.5 Hz and revealed that the composite systems represented by the central nervous system, sympathetic activity, and vascular resistance responded as a second-order low-pass filter (corner frequency ≈0.047 Hz) with a time delay (1.01 s). The gain between ADN and mean arterial pressure was reasonably constant before the corner frequency and then decreased with increasing frequency of stimulus. Although the heart rate was altered in response to the PRBS stimuli, we found that removal of the heart's ability to contribute to blood pressure variability by vagotomy and β1-receptor blockade did not significantly alter the frequency response. We conclude that the contribution of the heart to the dynamic regulation of blood pressure is negligible in the rabbit. The consequences of this finding are examined with respect to low-frequency oscillations in blood pressure