Maximally Resilient Replacement Paths for a Family of Product Graphs

Modern communication networks support fast path restoration mechanisms which allow to reroute traffic in case of (possibly multiple) link failures, in a completely decentralized manner and without requiring global route reconvergence. However, devising resilient path restoration algorithms is challenging as these algorithms need to be inherently local. Furthermore, the resulting failover paths often have to fulfill additional requirements related to the policy and function implemented by the network, such as the traversal of certain waypoints (e.g., a firewall). This paper presents local algorithms which ensure a maximally resilient path restoration for a large family of product graphs, including the widely used tori and generalized hypercube topologies. Our algorithms provably ensure that even under multiple link failures, traffic is rerouted to the other endpoint of every failed link whenever possible (i.e. detouring failed links), enforcing waypoints and hence accounting for the network policy. The algorithms are particularly well-suited for emerging segment routing networks based on label stacks

Subclinical Hypothyroidism and the Alterations of Lipid Profile as a Cardiovascular Risk Factor

The association between overt hypothyroidism and altered lipid profile is well known, whereas the significance of dyslipidemia in subclinical hypothyroidism (SCH) is still a matter of debate. The aim of the present study was to evaluate the lipid profile in patients with SCH in comparison to controls. Serum lipid parameters of 34 patients with SCH and 34 age- and sex-matched healthy controls were evaluated in our study. TC (198.88 ± 42.90 vs 171.40 ± 26.24 mg/dl, P < 0.01) and LDL-C concentrations (129.04 ± 35.44 vs 106.71 ± 26.21 mg/dl, P < 0.01) as well as ratio of LDL-C/HDL-C (3.51 ± 1.46 vs 2.81 ± 0.80, P < 0.05) were significantly higher in the patients in comparison to the controls, whereas HDL-C and TC/HDL-C ratio remained unaltered. TG concentrations were higher in the patients but this difference did not reach statistical significance (0.063). Correlation analyses revealed a significant correlation of TSH with TC, LDL-C and LDL-C/HDL-C ratio (r=0.351, r=0.345, r=0.340, respectively, P < 0.01) and a borderline correlation with TG (p=0.051). Our findings showed that SCH is associated with some lipid abnormalities suggesting higher risk of cardiovascular disease in these patients which seems to weigh in favor of treatment of patients with SCH

Comparison of quality and type of sleep disorders in good control and uncontroled diabetic type2 patients

Background and aims: Evidence from laboratory and epidemiologic studies has showed that sleep duration and its quality relate with diabetes and may increase diabetes risk. Sleep disorders in Chronic diseases are prevalent. This study was aimed to compare sleep quality and disorders among patients with controled and uncontroled diabetes mellitus and relationship between metabolic controls of glucose and sleep. Methods: In this case control study160 Type 2 diabetic mellitus patients referred to the Qom and Arak diabete center were selected and according to Glycemic control was assessed by hemoglobin A1c (HbA1c) level divided in to groups with good control (n=65) and uncontroled control (n=95). Data were collected using Pittsburgh sleep quality index (PSQI) and DSM-IV-TR schedule and analyzed using chi-square, logestic regression and t-test. Results: In the currentr study, sleep duration and quality were in significant linear corolation with HbA1c level, a key marker of glycemic control and in general, major sleeping disorders in uncontroled diabetes were dissomnia. Conclusion: According to the importance rule of good glycemic control in type 2 diabetic mellitus patients, adjustment of related factors is important. Life style is one of the most important effective factor for care of diabetic patients. Sleep and rest are the most important components of human life, and for glysemic control. So, optimizing sleep duration and quality and identifying and treatment of sleep disorders should be considered as an intervention to improve glucose control in patients with type 2 diabetes. In the other hand, patients with good glycemic control have beter sleep and beter sleep quality

Brief Announcement: Temporal Locality in Online Algorithms

Online algorithms make decisions based on past inputs, with the goal of being competitive against an algorithm that sees also future inputs. In this work, we introduce time-local online algorithms; these are online algorithms in which the output at any given time is a function of only T latest inputs. Our main observation is that time-local online algorithms are closely connected to local distributed graph algorithms: distributed algorithms make decisions based on the local information in the spatial dimension, while time-local online algorithms make decisions based on the local information in the temporal dimension. We formalize this connection, and show how we can directly use the tools developed to study distributed approximability of graph optimization problems to prove upper and lower bounds on the competitive ratio achieved with time-local online algorithms. Moreover, we show how to use computational techniques to synthesize optimal time-local algorithms

Evaluating the effect of a herb on the control of blood glucose and insulin-resistance in patients with advanced type 2 diabetes (a double-blind clinical trial)

Background: Different benefits of various herbal medicines in decreasing blood sugar have been reported in different clinical trials so far. Considering the growing tendency toward these combinations and the booming market, inappropriate advice is growing accordingly. Hence, it is necessary to evaluate the effects and possible complications of such combinations on health status and blood glucose control. Methods: Two 38-subject groups were formed and a 12-week treatment program was administered for both groups. The inclusion criteria were failure to control blood glucose with two oral medicines, unwillingness to inject insulin. The medicine was prepared in capsules by Booali Company. Each capsule weighed 750 mg and contained nettle leaf 20 (w/w), berry leaf 10 (w/w), onion and garlic 20 (w/w), fenugreek seed 20 (w/w), walnut leaf 20 (w/w), and cinnamon bark 10 (w/w) all in powder. Results: At the beginning of the study, there was no significant difference between the subjects regarding the evaluated parameters, but after the intervention, the level of glucose was significantly lower in fasting (P=0.0001) and 2-hour postprandial(P=0.002) levels. The level of glycated hemoglobin A1c (HbA1c) (P=0.0001) also decreased from 0.33±9.72 to 0.20±8.39 . Finally, the level of insulin resistance reduced from 1.9±4.1 to 1.4±2.6 (P=0.001) after consuming herbal medicine. Conclusion: According to the results of the current study, the herbal combination was effective in controlling blood sugar, and considering the reduction of HbA1c by 1.31 , it seems that the herbal combination is an effective medicine to treat diabetes. &#160

Helicobacter pylori

Helicobacter pylori (HP) is a common worldwide infection with known gastrointestinal and nongastrointestinal complications. One of the gastrointestinal side effects posed for this organism is its role in diabetes and increased insulin resistance. The aim of this study was to evaluate the association between HP and insulin resistance in type 2 diabetic patients and nondiabetics. This cross-sectional study was carried out from May to December 2013 on 211 diabetic patients referred to diabetes clinic of Shahid Beheshti Hospital of Qom and 218 patients without diabetes. HP was evaluated using serology method and insulin resistance was calculated using HOMA-IR. The prevalence of H. pylori infection was 55.8% and 44.2% in diabetics and nondiabetics (P=0.001). The study population was divided into two HP positive and negative groups. Among nondiabetics, insulin resistance degree was 3.01±2.12 and 2.74±2.18 in HP+ and HP− patients, respectively P=0.704. Oppositely, insulin resistance was significantly higher in diabetic HP+ patients rather than seronegative ones (4.484±2.781 versus 3.160±2.327, P=0.013). In diabetic patients, in addition to higher prevalence of HP, it causes a higher degree of insulin resistance

Insulin resistance and coronary artery disease in non-diabetic patients: Is there any correlation?

Background: Cardiovascular diseases are the most common causes of death in the world and type 2 diabetes is one of them because it is highly prevalent and doubles heart disease risk. Some studies suggest that insulin resistance is associated with coronary artery disease in non-diabetics. The aim of this study was to evaluate the association of insulin resistance (IR) and coronary artery disease (CAD) in non-diabetic patients. Methods: In this cross-sectional study, from September 2014 to July 2015, 120 patients referring to Shahid Beheshti Hospital of Qom were evaluated. Their medical history, baseline laboratory studies, BMI and GFR were recorded. After 8 hours of fasting, blood samples were taken from the patients at 8 am, including fasting glucose and insulin level. We estimated insulin resistance using the homeostatic model assessment index of IR (HOMA-IR). Finally, we evaluated the association between IR and CAD. Results: Totally, 120 patients were assigned to participate in this study, among them, 50 patients without CAD and 70 with coronary artery stenosis. Insulin resistance (HOMA-IR> 2.5) was positive in 59 (49.3%) patients and negative in 61 (50.7%) patients. Hence, the correlation between IR and CAD was not statistically significant (P=0.9). Conclusions: In this study, although the correlation was not found between insulin resistance and coronary heart disease, among men, we found a significant association between coronary heart disease and insulin resistance