The Moderating Roles of Perceived Supervisor Support Between Psychological Contract and Job-related Outcomes

Research on psychological contract has made significant contributions to the understanding of how employees view their relationship with their employer. However, few studies have reported how employees’ tendency on relational or transactional contract could influence job-related outcomes. This study emphasizes for whom the relationships between these contracts and job-related outcomes could be increased or decreased. Moreover, this study proposes that stigma consciousness and perceived supervisor support could moderate these relationships. The proposed hypotheses are validated through a survey in an Indonesian organization. The findings indicate that there are positive relationships between individuals who predominantly hold relational contract with their job satisfaction and job performance, but a negative relationship exists for intention to quit. However, the opposite effects for transactional contract are not revealed in this study, which might be due to the cultural values of the sample. Additional findings suggest that perceived supervisor support positively moderates the relationship between psychological contract, job satisfaction and task performance.     Keywords: relational contract, transactional contract, perceived supervisor support and job-related outcome

Evaluación de pronósticos del tipo de cambio utilizando

El presente trabajo compara especificaciones lineales y no lineales (expresadas en redes neuronales artificiales) ajustadas a la variación porcentual diaria del tipo de cambio utilizando para ello funciones de costo tradicionales (simétricas) a la vez que se introduce el análisis asimétrico. Los resultados muestran que las redes neuronales permiten obtener mejores pronósticos con ambos tipos de funciones de costos. Sin embargo, es de anotar que cuando se evalúan los pronósticos con funciones asimétricas, el modelo no lineal supera ampliamente a su contraparte lineal.Tipo de cambio, redes neuronales artificiales, evaluación de pronóstico

Artificial intelligence in healthcare: transforming the practice of medicine

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the potential to fundamentally transform the practice of medicine and the delivery of healthcare. In this review article, we outline recent breakthroughs in the application of AI in healthcare, describe a roadmap to building effective, reliable and safe AI systems, and discuss the possible future direction of AI augmented healthcare systems

Endoscopic Submucosal Tunnel Dissection as a Novel Therapeutic Technique in Patients With Barrett’s Esophagus

© 2020 American Federation for Medical Research. With the ameliorated resectability prowess of endoscopic techniques, a myriad of diseases previously treated by major ablative surgeries are now endoscopically curable. Endoscopic submucosal tunnel dissection (ESTD) is a relatively new technique that has diversified endoscopic application. Although ESTD has frequently been used for the resection of esophageal neoplastic lesions, the clinical evidence pertaining to its efficacy in the treatment of circumferential Barrett’s esophagus remains sparse. In this study, we evaluated ESTD as a potential therapeutic technique in patients with Barrett’s esophagus-related high-grade dysplasia. The tunneling strategy helped achieve complete en bloc resection at an increased dissection speed, without any procedural complications. This article illustrates that ESTD can be a feasible, safe, and effective treatment for dysplastic Barrett’s esophagus. Future research should aim to stratify the potential risks and complications associated with this optimization of endoscopic submucosal dissection in patients with superficial esophageal lesions

Analisis Dan Koordinasi Simpang Kartini Dan Simpang Sidodadi Semarang

The traffic growth volume continues to rise rapidly, especially in the city of semarang. This makes the occurrence of the traffic congestion during the rush hour especially at the intersection, one of the roads as well as on the road Dr. Cipto Semarang. This analysis aims to expedite traffic on the road Dr. Cipto by way of coordinating intersection and intersection Sidodadi Kartini. Survey data was collected directly at the second intersection at peak hours in the morning, afternoon, and evening. The data used is the flow of the vehicle, signal timing, vehicle travel speed, queue length, and geometric intersection. The survey results are then processed using the guidelines Manual Kapasitas Jalan Indonesia (MKJI) 1997. Analysis calculated intersection with three conditions, namely existing, optimally, and scenarios. After comparing the results obtained between the existing, optimized, and the scenario it was decided to use the optimal conditions due to a better outcome. Then do the coordination with the optimal conditions, to coordinate both the signalized intersection, the planning is done is to equate the two junctions cycle time, in the morning peak hour cycle time 82 seconds, 75 seconds at afternoon, and 100 seconds at evening. From the distance between the intersection and the vehicle speed obtained offset value is 36 seconds while the bandwidth at peak hours in the morning for 25 seconds, 22 seconds during afternoon, and 32 seconds at evening. While the efficiency of the coordination of the two intersections of 30.48% for the morning, 29.33% for the afternoon, and 32% for the evening. Performance of coordination is good enough for the level of short-term treatment. Thus, it can be concluded that the performance of the intersection is reviewed to be better than the initial condition