Data with Turiyam Set for Fourth Dimension Quantum Information Processing

Recently, neutrosophic set is considered as one of the prominent tool to deal with human cognition in three-way fuzzy space. This set has given a way to characterize the human cognition in conscious, unconscious, or indeterminate state. The problem arises when a person realizes all of three states independently as silent mode. It is observed at voting time of Indian democratic system where some people vote in a favor of a party, do not vote in favor of a party, being absent and choose none of the above. The last consciousness is turiyam state which is independent from all. It also observed at time of feedback or rating given by an expert towards which used to based on internal communication rather than true, false and uncertain activity. The internal communication which prvodies the opinion towards rating about any organization or employee is called as Turiya or Fourth dimension cognition. This paper tries to introduce this fourth dimension of human cognition as a new set called as Turiyam set with its graphical visualization via an illustrative example.

A Dilemma in the Communication of a UAV with its Controller

In this paper, we investigate a dilemma of employing silent mode and communication mode by an unmanned aerial vehicle (UAV) in communication with its controller. In many applications, a UAV communicates with a controller to receive instructions or accurate positioning, but such active communication poses a threat that the UAV can be hijacked through spoofing. On the other hand, during a silent mode (when the UAV does not communicate with the controller), the UAV is safe from spoofing, but is not receiving updates or other important data, and can degrade the overall UAV mission. To gain insight into the UAV risk versus benefit tradeoff, a simple game-theoretic model is presented. Additionally, this paper investigates how incomplete information about the capability of the controller to quickly learn the adversary’s attack and adjust its strategy accordingly can impact the equilibrium strategies. In contrast to regular-type capability, when both the rivals maximize their payoffs simultaneously, the capability of the controller to quickly learn is modeled by having the controller apply the best-response strategy. We model this problem using a Bayesian game, where the adversary knows only a priori probabilities about what capability the controller has. Dependence of the equilibrium strategies on these a priori probabilities is illustrated.

Emotion-related impulsivity moderates the cognitive interference effect of smartphone availability on working memory

Although recent studies suggest that the mere presence of a smartphone might negatively impact on working memory capacity, fluid intelligence, and attentional processes, less is known about the individual differences that are liable to moderate this cognitive interference effect. This study tested whether individual differences in emotion-related impulsivity traits (positive urgency and negative urgency) moderate the effect of smartphone availability on cognitive performance. We designed an experiment in which 132 college students (age 18–25 years) completed a laboratory task that assessed visual working memory capacity in three different conditions: two conditions differing in terms of smartphone availability (smartphone turned off and visible, smartphone in silent mode and visible) and a condition in which the smartphone was not available and was replaced by a calculator (control condition). Participants also completed self-reports that assessed their thoughts after the task performance, positive/negative urgency, and problematic smartphone use. The results showed that participants with higher positive urgency presented increased cognitive interference (reflected by poorer task performance) in the “silent-mode smartphone” condition compared with participants in the “turned-off smartphone” condition. The present study provides new insights into the psychological factors that explain how smartphone availability is liable to interfere with high-level cognitive processes.

The place of silence in second language acquisition

The article examines the role of silence in learners’ language development by discussing current theories in second language acquisition and by connecting them to the silence phenomenon. A number of important constructs in SLA are brought up as they have potential to be associated with the silent mode of learning, namely the silent period, input, output, communicative competence, among others. The discussion also highlights a few theoretical gaps in SLA discourse that are related to silence.

Successful deployment of drug-disease interaction clinical decision support across multiple Kaiser Permanente regions

Objective The study sought to develop a criteria-based scoring tool for assessing drug-disease knowledge base content and creation of a subset and to implement the subset across multiple Kaiser Permanente (KP) regions. Materials and Methods In Phase I, the scoring tool was developed, used to create a drug-disease alert subset, and validated by surveying physicians and pharmacists from KP Northern California. In Phase II, KP enabled the alert subset in July 2015 in silent mode to collect alert firing rates and confirmed that alert burden was adequately reduced. The alert subset was subsequently rolled out to users in KP Northern California. Alert data was collected September 2015 to August 2016 to monitor relevancy and override rates. Results Drug-disease alert scoring identified 1211 of 4111 contraindicated drug-disease pairs for inclusion in the subset. The survey results showed clinician agreement with subset examples 92.3%-98.5% of the time. Postsurvey adjustments to the subset resulted in KP implementation of 1189 drug-disease alerts. The subset resulted in a decrease in monthly alerts from 32 045 to 1168. Postimplementation monthly physician alert acceptance rates ranged from 20.2% to 29.8%. Discussion Our study shows that drug-disease alert scoring resulted in an alert subset that generated acceptable interruptive alerts while decreasing overall potential alert burden. Following the initial testing and implementation in its Northern California region, KP successfully implemented the disease interaction subset in 4 regions with additional regions planned. Conclusions Our approach could prevent undue alert burden when new alert categories are implemented, circumventing the need for trial live activations of full alert category knowledge bases.

Emergency call receiving alert through mobile phones using to change the current profile

Emergency Call Alert (ECA) Application is developed for inform the urgency as well as seriousness of the call to the receiver. The profile in the mobile facilitates that the user to change the mode they need and this requires manual work load. This Call Manager changes the pro-file automatically to the desired mode designed by the user. It has also been enhanced with filtering mechanism called as Emergency calls filter which allows the calls from the emergency list to be in user preferred mode irrespective of the current mode. This feature is to avoid the missing of calls from the numbers specified in the emergency call list. Now a day most of calls come to us when we are busy, it is an interrupt, which disturbs or sometimes accident may happen. To avoid this either we switch off the mobile or we put the mobile in silent mode. If this is so if any emergency call comes we cannot attend such type of calls. The other disadvantage of this is the calling person does not know when the called person is free. To overcome all these problems we presented paper, Emergency Call Manager which handles all the call when he/she is busy sends an SMS. Software which filters this message and it gives an emergency alarm to called mobile.

Development of an electronic medical record–based child physical abuse alert system

Objective Physical abuse is a leading cause of pediatric morbidity and mortality. Physicians do not consistently screen for abuse, even in high-risk situations. Alerts in the electronic medical record may help improve screening rates, resulting in early identification and improved outcomes. Methods Triggers to identify children < 2 years old at risk for physical abuse were coded into the electronic medical record at a freestanding pediatric hospital with a level 1 trauma center. The system was run in “silent mode”; physicians were unaware of the system, but study personnel received data on children who triggered the alert system. Sensitivity, specificity, and negative and positive predictive values of the child abuse alert system for identifying physical abuse were calculated. Results Thirty age-specific triggers were embedded into the electronic medical record. From October 21, 2014, through April 6, 2015, the system was in silent mode. All 226 children who triggered the alert system were considered subjects. Mean (SD) age was 9.1 (6.5) months. All triggers were activated at least once. Sensitivity was 96.8% (95% CI, 92.4–100.0%), specificity was 98.5% (95% CI, 98.3.5–98.7), and positive and negative predictive values were 26.5% (95% CI, 21.2–32.8%) and 99.9% (95% CI, 99.9–100.0%), respectively, for identifying children < 2 years old with possible, probable, or definite physical abuse. Discussion/Conclusion Triggers embedded into the electronic medical record can identify young children with who need to be evaluated for physical abuse with high sensitivity and specificity.