Machine Learning-Based Adaptive Load Balancing Framework for Distributed Object Computing

Distributed object computing is widely envisioned to be the desired distributed software development paradigm due to the higher modularity and the capability of handling machine and operating system heterogeneity. In this paper, we address the issue of judicious load balancing in distributed object computing systems. In order to decrease response time and to utilize services effectively, we have proposed and implemented a new technique based on machine learning for adaptive and flexible load balancing mechanism within the framework of distributed middleware. We have chosen Jini 2.0 to build our experimental middleware platform, on which our proposed approach as well as other related techniques are implemented and compared. Extensive experiments are conducted to investigate the effectiveness of the proposed technique, which is found to be consistently better in comparison with existing techniques

Avoidance of Priority Inversion in Real Time Systems Based on Resource Restoration

Priority inversion is a problem that occurs in concurrent processes when low-priority threads hold shared resources required by some high-priority threads, causing the high priority-threads to block indefinitely. This problem is enlarged when the concurrent processes are in a real time system where high- priority threads must be served on time. A novice approach for avoiding the priority inversion problem is presented for processes in real time systems. This approach is based on backing up and restoring the shared resources. A low priority thread always starts on a shadow version of the shared resource, the original resource remains unchanged. When a high-priority thread needs a resource engaged by a low-priority thread, the low priority thread is preempted, the original resource is restored and the high-priority thread is allowed to use the original resource. The approach has been implemented in Java and the experimental results are fetched which verify that the approach is very suitable for real time systems where high-priority threads must be served on time

A Web Searching Guide: Internet Search Engines & Autonomous Interface Agents Collaboration

The Internet represents the biggest communication media and its dimension increases every day. This continuous growth of information makes the Internet more and more interesting, but also the task of finding selected information becomes more complex and hard. Finding exactly what a user needs is not always an easy task: for example common search engines provide thousands of links for every search. Obviously not all these links are related to what the user really needs. In this paper, we present a Collaborative Autonomous Interface Agent (CAIA) that collaborates with the Internet search engines and supports the user in finding exactly the information consistent with his/her interest. A system has been designed, fully implemented and tested. The testing results shows a big improvement in the relevancy of the retrieved links and of the user’s satisfaction by using CAIA+Google compared to using only Google

Burst Round Robin as a Proportional-Share Scheduling Algorithm

In this paper we introduce Burst Round Robin, a proportional-share scheduling algorithm as an attempt to combine the low scheduling overhead of round robin algorithms and favor shortest jobs. As being documented that weight readjustment enables existing proportional share schedulers to significantly reduce, but not eliminate, the unfairness in their allocations. We present a novel weight adjustment for processes that are blocked for I/O and lose some CPU time to assure proportional fairness. Experiments on the implemented simulator showed that quickly knocking away shortest processes achieves better turnaround time, waiting time, and response time. The advantage we gain is that processes that are close to their completion will get more chances to complete and leave the ready queue. This will reduce the number of processes in the ready queue by knocking out short jobs relatively faster in a hope to increase the throughput and reduce the average waiting time

ECG Dilemma

"Case: A 31-year-old man with an unremarkable past medical history presented with substernal chest pressure without radiation of two-hours duration. The patient's vitals remained stable and an ECG was obtained. What is the diagnosis? ... Answer: D) Destrocardia."Zachary Oman (1), Leni Abraham (2), Piotr J. Horbal (1), Jad Raffoul (2), Tarek Helmy (2) ; 1. Department of Internal Medicine, Saint Louis University School of Medicine. 2. The Center for Comprehensive Cardiovascular Care, Saint Louis University School of Medicine.Includes bibliographical reference

C-reactive protein as a screening test for gestational diabetes mellitus in first-trimester of pregnancy: a prospective cohort study

Background: The current study aims to determine if increased inflammation identified by increased C-reactive protein (CRP) level is associated with the subsequent development of gestational diabetes mellitus (GDM).Methods: A prospective cohort study conducted at a tertiary University Hospital included 496 booking for their antenatal care visit between 10-12 weeks of gestation. They were tested for presence of CRP in blood. All women without a history of antenatal type 1 or type 2 diabetes undergo routine GDM screening with the 50-g oral glucose-loading test (GLT) between 24 and 28 weeks 'gestation. Women whose 1-h post-loading plasma glucose level >7.8 mmol/l (>140 mg/dl) undergo a diagnostic, fasting, 100-g, 3-h oral glucose tolerance test (OGTT) within 1-2 weeks following the GLT.Results: Among these 496 women, a total of 27 women (5.4%) were diagnosed as GDM and 10 women (2.0%) were diagnosed as IGT at week 24-28. The CRP was positive and higher in the GDM diagnosed group (p=0.000) compared to those who did not develop GDM. CRP was positively correlated with diagnosis of GDM (r=0.438, p=0.012).Conclusions: There is an association between first-trimester inflammation, marked by increased CRP levels and subsequent risk of GDM

EFFECT OF COMPOST AND SOME BIO-STIMULANT TREATMENTS ON: B. ESSENTIAL OIL PRODUCTION AND SOME CHEMICAL CONSTITUENTS OF CUMIN

A field experiment was carried out at the experimental farm of Fac. of Agric., Minia Univ. during two seasons (2012/2013 and 2013/2014) to study the effect of compost (0, 2.5, 5 and 7.5 ton/fed) and eight bio-stimulants treatments salicylic acid (Sal.) at 100 and 200 ppm, ascorbic acid (Asc.) at 100 and 200 ppm, active yeast at 5 and 10 g/l, vitamin E at 50 and 100 ppm and control) on oil production and chemical constituents of cumin plants. The data indicated that using compost at 7.5 ton/fed significantly increased essential oil production parameters, photosynthetic pigments contents and N, P and K % comparing with other treatments. Also, data showed that all eight used treatments of bio-stimulants significantly increased essential oil production (oil %, oil yield/plant and /fed) and chemical constituents (pigments and N, P and K %) as compared with control in both seasons, except, vit. E (50 ppm) in the second season for chlorophyll (a and b) and carotenoids, as well as, active yeast (5 g/l) for chlorophyll a in both season and phosphorus % in the first season. The best treatments were Sal. and Asc.  at the rate of 200 ppm in most cases and vit. E (100 ppm) and active yeast (10 g/l) in some cases, especially chemical constituents

EFFECT OF COMPOST AND SOME BIO-STIMULANT TREATMENTS ON: A. GROWTH AND FRUIT YIELD PRODUCTION OF CUMIN (CUMINUM CYMINUM, L.) PLANTS

A field experiment was carried out at the experimental farm of Fac. of Agric., Minia Univ. during two seasons (2012/2013 and 2013/2014) to study the effect of compost (0, 2.5, 5 and 7.5 ton/fed) and eight bio-stimulant treatments (salicylic acid (Sal.) at 100 and 200 ppm, ascorbic acid (Asc.) at 100 and 200 ppm, active yeast at 5 and 10 g/l, vit. E at 50 and 100 ppm and control) on growth and fruit yield production of cumin plants. The data showed that using 7.5 ton/fed compost significantly increased vegetative growth parameters (plant height, stem diameter, number of branches/plant and herb dry weight/plant) and yield and yield components characters (number of umbels/plant, fruit yield/plant and / weight of 1000 fruits) comparing with other treatments. Treating plants with Sal., Asc., active yeast and vit. E, each at two concentrations significantly increased vegetative growth parameters and yield and yield component characters comparing with control treatment, except Asc. at 100 ppm for weight of 1000 fruits during the first season. The best treatments were Sal. followed by Asc., then active yeast and vit. E, each at high concentrations in this concern

Oculomotor nerve palsy associated with bortezomib in a patient with multiple myeloma: a case report

<p>Abstract</p> <p>Introduction</p> <p>Bortezomib is a proteasome inhibitor used in the treatment of multiple myeloma. A newly recognized oculomotor nerve palsy related to bortezomib is described.</p> <p>Case presentation</p> <p>A 54-year-old Caucasian woman with immunoglobulin G kappa multiple myeloma on single-agent bortezomib given by intravenous push once weekly developed isolated unilateral partially reversible left sided oculomotor nerve palsy during the first cycle of treatment. All the essential diagnostic tests that were carried out excluded all other possible causes. There was a positive dechallenge-rechallenge test. Management was by withdrawal of bortezomib and empirical dexamethazone. To the best of our knowledge, this is the first report of its kind in the literature.</p> <p>Conclusion</p> <p>This case illustrates the probable association between oculomotor nerve palsy and bortezomib, and generates a hypothesis of whether bortezomib can cross the blood-brain barrier or not.</p