Organizing International Webinar as Community Services Activity During the Covid19 Pandemic

Since Covid19 is declared as pandemic and is categorized as national disaster, government has urged all acitivities is limited to prevent physical contact. All fileds including educational organization should obey the protocol given. Meantime, University’s agenda in delivering the three pillars of higher education still need to be conducted with an adjustment, including one of them in the field of community services. For that reason, Institute for Reasearch and Community Services of Balikpapan University designed an International seminar involving keynote speakers from three countries in a web conferencing application. This Web-Based Seminar (Webinar) was chosen since it doesn’t involve physical contact and also very efficient. Three stages directed in this webinar; from preparation, conducting of the webinar and evaluation stage; were described in this article. There were 500 participants register to the webinar. This webinar was successfully managed with no significant disturbance. The key to the success of this webinar was well-planned and organized schedule, task distribution among organizer members, as well as the proactive communication that shall always be maintained.

Incentive sensitization for exercise reinforcement to increase exercise behaviors

Individuals can be sensitized to the reinforcing effects of exercise, although it is unknown if this process increases habitual exercise behavior. Sedentary men and women (body mass index: 25–35 kg/m2, N = 52) participated in a 12-week aerobic exercise intervention. Exercise reinforcement was determined by how much work was performed for exercise relative to a sedentary alternative in a progressive ratio schedule task. Habitual physical activity was assessed via accelerometry. Post-intervention increases in exercise reinforcement predicted increases in physical activity bouts among those who expended over 2000 kcal per week in exercise and who compensated for less than 50 percent of their exercise energy expenditure.

Bentham Obras: Um Sistema de Gestão Inteligente para a Construção Civil

Nowadays, construction management is the main challenge for civil engineering corporations mainly due to the large number of information collected daily. In parallel, the adoption of paper based resources in the management process increases the chances of obtaining inefficient results. Besides that, it is important to care about environmental aspects, where each construction must be less harmful to nature. In this context, this paper presents Bentham Obras, a system based onWeb and Mobile platforms that provides several management processes, such as financial monitoring, work schedule, task execution control and contract accomplishment. After using the system for a period of 8 months, civil engineering corporations that have adopted the system highlighted the important aspects brought by Bentham Obras in the construction management.

Hybrid Optimization EHO-GA for Task scheduling in Cloud Environments

Cloud computing is an emerging technology with highly scalable service adopted by different kinds of people from around the world. In cloud environments one of the major problems is task scheduling; most of existing algorithm is not optimal. The proposed hybrid optimization method has combination of Elephant Herd Optimization (EHO) and Genetic Algorithm (GA) for find an optimal resource to schedule task in the Cloud. This proposed method has improves the performance of task scheduling by considering the parameters of response time, makespan, and cost of the cloud. The proposed method has implemented in CloudSim 3.0 toolkit and evaluated the performance with existing algorithm. The Experimental results were proven that proposed algorithm has given better performance compared to other scheduling algorithm.

Encoding of reward expectation by monkey anterior insular neurons

The insula, a cortical brain region that is known to encode information about autonomic, visceral, and olfactory functions, has recently been shown to encode information during reward-seeking tasks in both single neuronal recording and functional magnetic resonance imaging studies. To examine the reward-related activation, we recorded from 170 single neurons in anterior insula of 2 monkeys during a multitrial reward schedule task, where the monkeys had to complete a schedule of 1, 2, 3, or 4 trials to earn a reward. In one block of trials a visual cue indicated whether a reward would or would not be delivered in the current trial after the monkey successfully detected that a red spot turned green, and in other blocks the visual cue was random with respect to reward delivery. Over one-quarter of 131 responsive neurons were activated when the current trial would (certain or uncertain) be rewarded if performed correctly. These same neurons failed to respond in trials that were certain, as indicated by the cue, to be unrewarded. Another group of neurons responded when the reward was delivered, similar to results reported previously. The dynamics of population activity in anterior insula also showed strong signals related to knowing when a reward is coming. The most parsimonious explanation is that this activity codes for a type of expected outcome, where the expectation encompasses both certain and uncertain rewards.

Parallel Schedule Method of SMP2 Models under SOA

To achieve the parallel schedule of SMP2 models under the Service Oriented Architecture, a parallel schedule method of SMP2 model is put forward. The assignment method of serial model schedule task is promoted based on the analysis of the four traditional serial model schedule tasks in the SMP2.Then three schedule tasks which can not be scheduled parallelized were reformed and the schedule processes were introduced. Finally, the schedule service interface was extended and the parallel simulation component interface, time manager interface and message manager interface were defined to conduct the implementation of parallel simulation component.