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The advancement of mobile clients and applications makes it possible for people to always stayconnected, sending and receiving data constantly. The nature of the 3G technology widelyused, however, causes a high battery drain in cellular phones and because of that a lot of toolsfor measuring mobile phones energy consumption has been developed. In this report we lookinto the trace-driven tool EnergyBox and find out how we can use it to estimate the energyconsumption of 3G transmissions for an application we’ve developed ourselves. We beginwith identifying the types of traffic our application generates and identify which parts of itmake up our applications background traffic. Different combinations of the identified traffictypes are looked into in order to decide which ones that need to be present in the packet tracesfor an estimation of our applications energy footprint for 3G transmission. Further, answersare sought to how long the time span should be for which the packet traces are collected andhow many of them are needed in order to draw a conclusion about our application’s energyfootprint. We conclude that all traffic types responsible for our application’s backgroundtraffic need to be present in the analyzed packet traces, and data suggests that collectingmore than 10 one minute packet traces does not improve accuracy significantly (less than1%). Without user interaction, our application generates traffic, which transmitted over 3G,drains as much as an average of 930mW, meaning that a Samsung Galaxy S4 battery with acapacity of 9.88Wh would last for a maximum of 10 hours and 30 minutes (excluding otherenergy consuming sources inside the handset)

Современные взгляды на генетические семейства M. tuberculosis

М. tuberculosisМИКОБАКТЕРИИТУБЕРКУЛЕЗBEIJERINCKIACEAEBEIJERINCKIAАЛЬФА-ПРОТЕОБАКТЕРИ

Недифференцированная дисплазия соединительной ткани и малые аномалии сердца как предиктор развития нарушений ритма у пациентов с ишемической болезнью сердца

ОНТОГЕНЕЗМОРФОГЕНЕЗИШЕМИЧЕСКАЯ БОЛЕЗНЬ СЕРДЦ

Структурно-цитохимические особенности развивающихся почек крысят при антенатальном воздействии инкорпорированных радионуклидов

ГЛИКОПРОТЕИНЫПОЧКИРАДИОАКТИВНЫЕ ИЗОТОПЫРАДИОНУКЛИД

Unexpected Improvements to Expected Improvement for Bayesian Optimization

Expected Improvement (EI) is arguably the most popular acquisition function in Bayesian optimization and has found countless successful applications, but its performance is often exceeded by that of more recent methods. Notably, EI and its variants, including for the parallel and multi-objective settings, are challenging to optimize because their acquisition values vanish numerically in many regions. This difficulty generally increases as the number of observations, dimensionality of the search space, or the number of constraints grow, resulting in performance that is inconsistent across the literature and most often sub-optimal. Herein, we propose LogEI, a new family of acquisition functions whose members either have identical or approximately equal optima as their canonical counterparts, but are substantially easier to optimize numerically. We demonstrate that numerical pathologies manifest themselves in "classic" analytic EI, Expected Hypervolume Improvement (EHVI), as well as their constrained, noisy, and parallel variants, and propose corresponding reformulations that remedy these pathologies. Our empirical results show that members of the LogEI family of acquisition functions substantially improve on the optimization performance of their canonical counterparts and surprisingly, are on par with or exceed the performance of recent state-of-the-art acquisition functions, highlighting the understated role of numerical optimization in the literature.Comment: NeurIPS 2023 Spotligh

Body surface area may explain sex differences in findings from the oral glucose tolerance test among subjects with normal glucose tolerance

Background and aims: Current guidelines on prediabetes and diabetes (T2D) recommend to regularly perform an oral glucose tolerance test (OGTT) on subjects at risk of T2D. However, it is not known why women tend to have relatively higher 2-h post-load plasma (2hPG) glucose concentrations during OGTT than men. The aim of the present study is to investigate if there are sex differences in fasting plasma glucose (FPG) and 2hPG concentrations in relation to body size in apparently healthy non-diabetic subjects with normal glucose tolerance. We hypothesized that sex differences in glucose tolerance are physiological and related to different body surface area (BSA) in men and women. Methods and results: A 2-h 75 g OGTT was performed on 2010 subjects aged 45-70 years. Their BSA was calculated using the Mosteller formula. Men and women were separately divided into five BSA levels. Within the normal 2hPG range, women had higher mean 2hPG concentrations during the OGTT than men in all BSA levels estimated by sex-standardized BSA (p for linearity < 0.001). BSA adjusted for age, waist circumference, leisure-time physical activity, and smoking, showed an inverse association with 2hPG concentration in both sexes. Mean FPG concentrations were higher in men than in women. Conclusions: Body size has a negative inverse association with 2hPG concentration in an OGTT even within a physiological plasma glucose range. This may cause underestimation of glucose disorders in individuals with larger BSA and overestimation in individuals with smaller BSA when using an OGTT. (c) 2021 The Authors. Published by Elsevier B.V. on behalf of The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Peer reviewe

Body surface area and glucose tolerance - The smaller the person, the greater the 2-hour plasma glucose

Background: The oral glucose tolerance test (OGTT) is standardized globally with a uniform glucose load of 75 g to all adults irrespective of body size. An inverse association between body height and 2-hour postload plasma glucose (2hPG) has been demonstrated. Our aim was to evaluate the relationship between body surface area (BSA) and plasma glucose values during an OGTT. Methods: An OGTT was performed on 2659 individuals at increased cardiovascular risk aged between 45 and 70 years of age, who had not previously been diagnosed with diabetes or cardiovascular disease. Their BSA was calculated according to the Mosteller formula. Study subjects were divided into five BSA levels corresponding to 12.5, 25, 25, 25, and 12.5% of the total distribution. Findings: When adjusted for age, sex, waist circumference, alcohol intake, current smoking, and leisure-time physical activity, BSA level showed an inverse linear relationship with the 2hPG in all categories of glucose tolerance (p for linearity <0.001). Moreover, the smaller the adjusted BSA of the study person, the higher the proportion of newly diagnosed type 2 diabetes based on 2hPG in the OGTT. Interpretation: Body size has a considerable impact on the findings from a standardized OGTT. Smaller persons are more likely to be diagnosed as glucose intolerant than relatively larger sized individuals. Research in context: Evidence before this study. We searched PubMed using the MeSH terms "glucose tolerance test", "body surface area", "body height", "body size", "glucose tolerance", "insulin resistance", "blood glucose" and "diabetes mellitus" on March 10, 2019 without language restrictions. We also used Cited Reference Search in Web of Science for relevant articles. The oral glucose tolerance test (OGTT) is standardized globally with a uniform glucose load of 75 g to all adults irrespective of body size. An inverse association between body height and 2-hour postload plasma glucose (2hPG) has been demonstrated. Several studies have shown that 2hPG predicts all-cause mortality better than elevated fasting glucose. However, body height or body surface area are not usually adjusted in epidemiological studies. It is well known that short adult stature is a risk factor for cardiovascular and all-cause mortality. Added value of this study. This is the first study to assess the relationship of body surface area and 2hPG in a typical primary care population at increased cardiovascular risk. Body surface area has a considerable impact on the result of a standardized OGTT. Smaller individuals are more likely to be diagnosed as glucose intolerant than relatively larger sized individuals. Implications of all the available evidence. There is a possibility that the diagnosis of type 2 diabetes made by an OGTT is a false positive result in a relatively small individual, and a false negative result in a relatively larger individual. Association of 2hPG concentrations and mortality may be influenced by body size as confounding factor. Given that the OGTT is a time and effort consuming test both for patients and laboratory personnel, validity of the OGTT for different body sizes should be reconsidered. (C) 2019 Elsevier B.V. All rights reserved.Peer reviewe

Effect of maternal weight during pregnancy on offspring muscle strength response to resistance training in late adulthood

Purpose: Maternal obesity can unfavorably influence offspring body composition, muscle strength, and possibly muscle's adaptability to training, but the human studies are scarce. Therefore, we aimed to investigate the effect of maternal obesity on offspring muscle strength responses to resistance training intervention in elderly frail women. Materials/methods: Recruited participants were elderly frail women offspring of lean/normal weight mothers (n = 19, mean body mass index (BMI): 22.8 kg/m2, range: 19.9-24.5) or overweight/obese mothers (n = 16, mean BMI: 29.7 kg/m2, range: 28.2-34.2). Information on maternal BMI immediately prior to delivery was collected from the birth registers. All women participated in a 4-month supervised progressive resistance training intervention three times a week for 60 min. Predicted 1-RM of abdominal crunch, hip abduction, leg curl, leg press, seated row, and total strength were measured at baseline and after each month of training. Results: According to rANOVA, strength increased significantly in both groups (p for time 0.072). On average, muscle strength of the women offspring of overweight/obese mothers tended to be lower than in women offspring of lean/normal weight mothers, but the only significant difference was found in leg curl (p = 0.006). No significant differences between the groups were found in relative strength changes from baseline to 4-months. Conclusions: Muscle strength response to supervised resistance training is not modulated by maternal adiposity in late pregnancy in elderly frail female offspring.Peer reviewe

Molecular-dynamics-simulation-guided membrane engineering allows the increase of membrane fatty acid chain length in Saccharomyces cerevisiae

The use of lignocellulosic-based fermentation media will be a necessary part of the transition to a circular bio-economy. These media contain many inhibitors to microbial growth, including acetic acid. Under industrially relevant conditions, acetic acid enters the cell predominantly through passive diffusion across the plasma membrane. The lipid composition of the membrane determines the rate of uptake of acetic acid, and thicker, more rigid membranes impede passive diffusion. We hypothesized that the elongation of glycerophospholipid fatty acids would lead to thicker and more rigid membranes, reducing the influx of acetic acid. Molecular dynamics simulations were used to predict the changes in membrane properties. Heterologous expression of Arabidopsis thaliana genes fatty acid elongase 1 (FAE1) and glycerol-3-phosphate acyltransferase 5 (GPAT5) increased the average fatty acid chain length. However, this did not lead to a reduction in the net uptake rate of acetic acid. Despite successful strain engineering, the net uptake rate of acetic acid did not decrease. We suggest that changes in the relative abundance of certain membrane lipid headgroups could mitigate the effect of longer fatty acid chains, resulting in a higher net uptake rate of acetic acid