Improved Method for Long-Term Frequency Stability Measurement Using Vector Voltmeter

This paper proposes a novel approach for the improvement of the long-term frequency stability measurement using an obsolete phase meter. The hypothesis of the paper states it is possible to fully automate measurement process and reduce measurement time using the standard method supported by bespoke PC software. This theory was examined in detail and experimentally validated using GPS standard method. The results of the experiment confirmed that measurement time can be reduced more than 50 %, at the expense of a measurement uncertainty increase. Still, the estimated measurement uncertainty of the proposed method is more than satisfactory for the calibration purpose of the most common oscillator types including rubidium frequency standards

Relationships between Playing Time and Selected NBA Combine Test Performance in Division I Mid-Major Basketball Players

International Journal of Exercise Science 13(4): 583-596, 2020. There has been limited analyses of DI mid-major male basketball players, and no analyses of relationships between athletic abilities and playing time in this population. The purpose of this study was to (1) describe and compare backcourt and frontcourt players from one mid-major team and (2) determine if there were relationships between playing time (total minutes, total games played, minutes per game) and select tests from the NBA Combine (height, body mass, standing reach, and wingspan; countermovement [VJ] and approach [AppVJ vertical jump], lane agility drill, ¾ court sprint, and 83.91-kg bench press). A retrospective analysis of data from the 2018 season for a men’s DI team (n = 10) was conducted. Performance testing was completed in the pre-season, and playing time metrics were collated by the team’s staff over the season. Players were split into backcourt (n = 6) and frontcourt (n = 4) groups and compared via independent samples t-tests (p \u3c 0.05) and effect sizes (d). Pearson’s correlations calculated relationships between playing time metrics and the NBA combine test data (p \u3c 0.05). When compared to the backcourt group, the frontcourt group were significantly taller, heavier, had a greater standing reach and wingspan, and performed poorer in the VJ, AppVJ, and ¾ court sprint (d = 1.49-3.45). There were no significant relationships between playing time and any NBA Combine test (r = -0.363-0.511). Basketball-specific skill may have a larger impact on playing time in this mid-major team. However, the mid-major players in this study may have had above-average athletic abilities as measured by NBA combine testing, limiting correlations with playing time

Planowanie wydobycia cynku i ołowiu w kopalniach podziemnych z wykorzystaniem podejścia stochastycznego z elementami logiki rozmytej do określania niezbędnego poziomu zapasów

Methodology for long-term underground lead-zinc mine planning based on fuzzy inventory theory is presented in this paper. We developed a fuzzy stochastic model of inventory control problem for planning lead-zinc ore production under uncertainty. The final purpose of this article is to find the optimal quantity of mined ore that should be stockpiled, in order to enable “feeding” of mineral processing plant in casus when the production in underground mine is interrupted, by using Possibilistic mean value of fuzzy number for defuzzing the fuzzy total annual inventory costs, and by using Extension of the Lagrangian method for solving inequality constrain problem. The different types of costs involved in mined ore inventory problems affect the efficiency of production scheduling. Dynamic nature of lead and zinc metal price is described by Ornstein-Uhlenbeck stochastic mean reverting process. The model is illustrated with a numerical example.W pracy przedstawiono metodologię długoterminowego wydobycia cynku i ołowiu w kopalniach podziemnych z wykorzystaniem podejścia stochastycznego z elementami logiki rozmytej do określania wymaganego poziomu zapasów. Opracowaliśmy model stochastyczny z wykorzystaniem elementów logiki rozmytej do kontroli zapasów w planowaniu wydobycia cynku i ołowiu w warunkach niepewności. Celem końcowym pracy jest określenie optymalnej ilości wydobywanej rudy, którą należy zachować jako zapas tak aby zapewnić odpowiednie jej dostawy do zakładu przeróbczego nawet w przypadku przerwania wydobycia w kopalni podziemnej, opierając się na posybilistycznej wartości średniej liczby rozmytej i wyostrzeniu całkowitych rocznych kosztów zapasów. Wykorzystano także rozszerzenie metody Lagrange’a do rozwiązywania problemu więzów w nierówności. Różnorakie koszty związane ze składowaniem zapasów wydobywanej rudy mają wpływ na wydajność planowanej produkcji. Dynamiczne zmiany cen cynku i ołowiu zostały określone z wykorzystaniem rewersji średniej stochastycznej, w pracy Ornsteina-Uhlenbecka. Zaprezentowano przykład numeryczny jako ilustrację modelu

Role of standard test meal in initiation of insulin therapy in type 2 diabetes

Introduction Secondary monotherapy failure in diabetes mellitus type 2 occurs early in the course of disease. Choosing the optimal combination therapy depends on the primary pathogenic mechanism. Evaluation of the residual beta cell function is of primary importance in deciding whether insulin should be included in the combination therapy. Objective To investigate the influence of standard meal test and homeostasis model assessment (HOMA-B) index, as markers of residual insulin secretion, on the efficacy of two different therapeutic strategies in secondary sulphonylurea (SU) failure. Methods In the group of thirty subjects with diabetes type 2, metabolic syndrome and secondary SU failure, metformin (MET) was added for the following six months. In the group of 30 subjects with diabetes type 2, secondary SU failure, with no metabolic syndrome, insulin (INS) was added for the same period. During the six-month follow-up period, fasting, postprandial, mean daily blood glucose and glycosylated haemoglobin (HbA1C) were evaluated. Fasting and meal stimulated C-peptide (CP) and insulin levels were measured at the beginning; absolute and relative increase of CP (delta CP, delta CP%), and HOMA-B were calculated. Correlation between CP secretion and HOMA-B at the beginning and glycaemic control after six months of therapy were evaluated by using Pearson correlation coefficient. Results Glycaemic control after six months was significantly improved in both therapeutic combinations (p<0.01). However, target values were not met in either group. Stimulated CP levels correlated best with all the parameters of glycaemic control in the group SU+MET (r -0.479 to -0.791; p<0.01), and in the group SU+INS (r 0.382 to 0.635; p<0.01). HOMA-B correlated only with HbA1C in the SU+MET group (r=-0.382; p<0.05). Conclusion Clinical diagnosis of metabolic syndrome and evaluation of residual insulin secretion are necessary in choosing the best combination therapy in secondary SU failure in subjects with type 2 diabetes. Stimulated standard meal CP level is a clinically useful marker of residual insulin secretion

Underground Lead-Zinc Mine Production Planning Using Fuzzy Stochastic Inventory Policy / Planowanie Wydobycia Cynku I Ołowiu W Kopalniach Podziemnych Z Wykorzystaniem Podejścia Stochastycznego Z Elementami Logiki Rozmytej Do Określania Niezbędnego Poziomu Zapasów

Methodology for long-term underground lead-zinc mine planning based on fuzzy inventory theory is presented in this paper. We developed a fuzzy stochastic model of inventory control problem for planning lead-zinc ore production under uncertainty. The final purpose of this article is to find the optimal quantity of mined ore that should be stockpiled, in order to enable “feeding” of mineral processing plant in casus when the production in underground mine is interrupted, by using Possibilistic mean value of fuzzy number for defuzzing the fuzzy total annual inventory costs, and by using Extension of the Lagrangian method for solving inequality constrain problem. The different types of costs involved in mined ore inventory problems affect the efficiency of production scheduling. Dynamic nature of lead and zinc metal price is described by Ornstein-Uhlenbeck stochastic mean reverting process. The model is illustrated with a numerical example.W pracy przedstawiono metodologię długoterminowego wydobycia cynku i ołowiu w kopalniach podziemnych z wykorzystaniem podejścia stochastycznego z elementami logiki rozmytej do określania wymaganego poziomu zapasów. Opracowaliśmy model stochastyczny z wykorzystaniem elementów logiki rozmytej do kontroli zapasów w planowaniu wydobycia cynku i ołowiu w warunkach niepewności. Celem końcowym pracy jest określenie optymalnej ilości wydobywanej rudy, którą należy zachować jako zapas tak aby zapewnić odpowiednie jej dostawy do zakładu przeróbczego nawet w przypadku przerwania wydobycia w kopalni podziemnej, opierając się na posybilistycznej wartości średniej liczby rozmytej i wyostrzeniu całkowitych rocznych kosztów zapasów. Wykorzystano także rozszerzenie metody Lagrange’a do rozwiązywania problemu więzów w nierówności. Różnorakie koszty związane ze składowaniem zapasów wydobywanej rudy mają wpływ na wydajność planowanej produkcji. Dynamiczne zmiany cen cynku i ołowiu zostały określone z wykorzystaniem rewersji średniej stochastycznej, w pracy Ornsteina-Uhlenbecka. Zaprezentowano przykład numeryczny jako ilustrację modelu

Evaluation of Underground Zinc Mine Investment Based on Fuzzy-Interval Grey System Theory and Geometric Brownian Motion

Underground mine projects are often associated with diverse sources of uncertainties. Having the ability to plan for these uncertainties plays a key role in the process of project evaluation and is increasingly recognized as critical to mining project success. To make the best decision, based on the information available, it is necessary to develop an adequate model incorporating the uncertainty of the input parameters. The model is developed on the basis of full discounted cash flow analysis of an underground zinc mine project. The relationships between input variables and economic outcomes are complex and often nonlinear. Fuzzy-interval grey system theory is used to forecast zinc metal prices while geometric Brownian motion is used to forecast operating costs over the time frame of the project. To quantify the uncertainty in the parameters within a project, such as capital investment, ore grade, mill recovery, metal content of concentrate, and discount rate, we have applied the concept of interval numbers. The final decision related to project acceptance is based on the net present value of the cash flows generated by the simulation over the time project horizon