Relative Distance Values Research Articles

Analisa Mesin Pengering Makanan Food Dehidrator Menggunakan Sensor Thermostat Berbasis Hybrid

The process of drying food is done in the traditional way, by drying it in the hot sun, but the traditional drying method makes the food unhygienic. Several factors can influence the drying results of food ingredients, including temperature and drying time. Using optimal drying temperatures and times can reduce the level of damage caused by the drying process. This research aims to obtain an analysis of a food dehydrator drying machine using a hybrid-based thermostat sensor that can optimally condition the temperature and time factors in the drying process, the hyfood dehydrator machine system uses a dehumidification method, there is a heat recovery mechanism that recycles heat to open new air, thus saving 60-70% of fresh air preheating energy consumption. Hot air moving in the room dries the material. It is known that the test result data was analyzed by calculating the accuracy values, down to the relative distance values. The results of the comparison process are used as validation of the output values ​​produced by the temperature measuring instrument. The measurement results of the Digital Thermostat Sensor are in accordance with the datasheet and have a high level of accuracy. So the Digital Thermostat Sensor measuring instrument can be used as a measurement tool. With an internal fan, thermostat, and time settings on this device, you only need to set the right heat according to the type of food you want to dry. The shelves in the cupboard consist of drying trays that can maximize the drying process

ENTREATY OF FUZZY INTERVAL-VALUED EDAS METHOD IN ORDER PREFERENCE OF CUSTOMERS FOR RANKING OPTIMIZATION.

The growing need of a research lab in automotive confirmatory tests is increasing day by day in the competitive market. Testing plays an important part in time and cost to meet the durability and quality requirements of the customers. Decision Making Models [DMM] with order preference supports well in optimizing the process scheduling time and utilization of machines. The analyzed data is of with multi-criterion constraints and unreliable parameters. As the constraints in analyzed data belongs to [-R, R], the problem is modelled with generalized Fuzzy Interval Valued set. The defined FIVs are justified using Novel Accuracy of Membership and Non-Membership values. The unconventionality of the work discussed in this paper is applying FIVs in the existing Evaluation by Distance Average Sum [EDAS] method. The weight values of the criterion are calculated using the Average Distance [AD] formula. In general, Fuzzy VIKOR and Fuzzy TOPOSIS helps in identifying the closeness co-efficient of the parameters. Particularly, VIKOR plays a vital role on group utility and TOPOSIS on Max/Min of negative and positive ideal solutions respectively. Here, the proposed FIVEDAS method is framed with the Relative Distance Values [RDA] and so it provides us an ideal ranking in order preference. The results are compared with the existing lab process utility time in First-Come-First Serve method.

Comparison of two different integrated method of pharmacokinetics by the integrated pharmacokinetic research of fangji huangqi decoction

Traditional Chinese medicine (TCM) is characterized by its multiple components. The utilization of mathematical statistical methods to integrate the pharmacokinetics of monomer components can provide a comprehensive understanding of the holistic pharmacokinetic process of TCM. Two distinct integrated methods, namely the correlation coefficient method and the AUC-based weight coefficient method, were employed in this study to elucidate and compare their differences in the integrated pharmacokinetic research of Fangji Huangqi decoction (FHD). FHD is commonly used in clinical practice to treat the nephrotic syndrome. Firstly, one-dose FHD was given to doxorubicin-induced nephropathy (DN) rats, and the prototype compounds of FHD and their metabolites in plasma were qualitatively and semi-quantitatively analyzed by UHPLC-MS/MS. Secondly, the efficacy of FHD was quantitatively characterized by the relative distance method based on metabolomics. The correlation coefficients were obtained by analyzing the correlation between efficacy (relative distance values) and the content of compound, and they were subsequently used for the model integration (correlation coefficient method). Thirdly, the effective compounds of FHD treating DN were screened by integrating network pharmacology and molecular docking, and they were used for another integrated pharmacokinetic model by AUD-based weight coefficient method. Finally, the 2 integrated methods and the 2 integrated pharmacokinetic models were compared. In this study, 30 prototype compounds and 41 metabolites of FHD in plasma were identified, and the pharmacokinetic curve of 18 prototype compounds were built. The efficacy of FHD in the treatment of DN has been relatively quantitation. The 2 established integrated pharmacokinetic models of FHD indicated that the correlation coefficient method was the optimal approach for conducting the integrated pharmacokinetic research on the TCM with unknown effective compounds, whereas the AUC-based coefficient method was suitable for the TCM with the clear effective compounds. The integrated pharmacokinetic models indicated that FHD had high bioavailability and an absorption peak at about 6 h after administration, indicating that the 6 h after administration was the critical period of FHD treating DN. This research would be helpful for the pharmacological and pharmacokinetic research of FHD, and provide a method reference for the integrated pharmacokinetic research of TCM.

Iteratively distributed instrumental variable-based pseudo-linear information filter for angle-only tracking

This paper presents a distributed filtering problem for three-dimensional angle-only target tracking (AOTT) in sensor (i.e., observer) networks. An instrumental variable-based pseudo-linear information filter (IVIF) is firstly derived on the basis of the designed bias-compensated pseudo-linear information filtering, with the help of summation forms of information quantities and bias compensation in a centralized fusion manner. Then, the distributed IVIF (DIVIF) is put forward by using finite-time average consensus to obtain the arithmetic means of defined information quantities and compensated bias in observer networks, which ensures that the filtering result of every observer is consistent with the centralized one. Finally, the iteratively DIVIF is proposed via gradually approaching the true values of relative distance and the corresponding angles between the target and every observer to get the filtering parameters more and more accurately, in order to achieve higher filtering precision. In addition, the computational complexity of the proposed method is also analyzed. The advantages of filtering precision of the proposed method over the existing pseudo-linear Kalman filter and its variants are demonstrated by an AOTT example in observer networks in terms of iteration steps, different levels of process noises and observer’s accuracy.

Consistency evaluation of Chaihuang granules based on pharmacokinetics and metabolomics

Consistency evaluation of Traditional Chinese Medicinal preparations (TCMPs) with complex chemical composition is challenging. Chaihuang granules (CHG), as a well-known TCMP, consists of Chaihu (Bupleuri Radix) and Huangqin (Scutellariae Radix) extract. In this work, we used pharmacokinetics and metabolomics to evaluate consistency of CHG products from two different manufacturers. In the pharmacokinetic study, a liquid chromatography tandem mass spectrometry (LC–MS/MS) method was applied to determine the plasma concentration-time profiles of baicalin in rat plasma. Pharmacokinetic parameters, including the maximum concentration in blood (Cmax), area under the curve (AUC), the time to reach Cmax (Tmax), and half-life (T1/2), were calculated to assess the consistency preliminarily. And there was no significant difference in these pharmacokinetic parameters between the two CHG. In LC–MS-based metabolomics, the metabolic response profiles changes based on relative distance values (RDV) to different CHG products were compared. Meanwhile, the kinetic process of 31 differential endogenous metabolites that altered by CHG were determined. Metabolomics data showed the similar metabolic regulation effects to rats of the two formulations. Both pharmacokinetic and metabolomics results indicated there was no significant difference between CHG products. Furthermore, metabolic pathways significantly altered by CHG were elucidated, including phenylalanine, tyrosine and tryptophan biosynthesis, valine, leucine and isoleucine biosynthesis, phenylalanine metabolism, and sphingolipid metabolism. Pharmacokinetics combined with metabolomics could provide a comprehensive perspective for consistency evaluation of CHG.

The compatibility effects of sini decoction against doxorubicin-induced heart failure in rats revealed by mass spectrometry-based serum metabolite profiling and computational analysis

Ethnopharmacological relevanceSini decoction (SND) is a famous Traditional Chinese Medicine (TCM) formula composed of Acontium carmichaeli, Zingiber officinale and Glycyrrhiza uralensis, which is considered as an efficient formula against doxorubicin (DOX)-induced heart failure. But the compatibility mechanism of SND remains unclear. Aim of the studyThe present study aimed to investigate the compatibility mechanism of SND against DOX-induced heart failure in rats. Materials and methodsMass spectrometry-based serum metabolomics were performed. The relative distance values (RDVs) of SND, A. carmichaeli-free decoction (ACFD), Z. officinale-free decoction (ZOFD) and G. uralensis-free decoction (GUFD) treated groups from the control/DOX groups in multidimensional space were calculated to provide a measure of compatibility effect of SND. SND, ACFD, ZOFD, GUFD-targeted metabolic pathways were identified and compared to investigate the synergistic mechanism of SND by computational systems analysis. Real-time quantitative PCR was further employed to validate the key metabolic pathways at the level of the gene. ResultsThe RDVs combined with the hemodynamic and biochemical analysis showed that the protection effects were sorted as SND > GUFD > ZOFD > ACFD. It revealed that DOX-induced heart failure perturbed 16 metabolic pathways, and SND, GUFD, ZOFD and ACFD-treated groups could significantly reversed 12, 10, 7 and 6 metabolic pathways of these 16 metabolic pathways, respectively. Metabolic pathway and RT-PCR analysis indicated that both SND and GUFD could protect DOX-induced heart failure mainly by regulating PLA2-COX pathway and PLA2-CYP pathway. ConclusionIt can be concluded that A. carmichaeli played an essential role in attenuation of DOX-induced heart failure among the three herb constituents of SND and the constituent herbs mutually reinforced each other. This work demonstrated that metabolomics combined with computational systems analysis was a promising tool for uncovering the compatibility effects of TCM.

Field location and player roles as constraints on emergent 1-vs-1 interpersonal patterns of play in football

This study examined effects of player roles on interpersonal patterns of coordination that sustain decision-making in 1-vs-1 sub-phases of football in different field locations near the goal (left-, middle- and right zone). Participants were fifteen U-16yrs players from a local competitive amateur team. To measure interpersonal patterns of coordination in the 1-vs-1 dyads we recorded: (i) the relative distance value between each attacker and defender to the centre of the goal, and (ii), the relative angle between the centre of the goal, each defender and attacker. Results revealed how variations in field locations near the goal (left-, middle- and right-zones) constrained the relative distance and relative angle values that emerged between them and the goal. It reveals that relative position of the goal is a key informational variable that sustained participants’ behaviours for dribbling and shooting. Higher values of relative distance and angle were observed in the middle zone, compared to other zones. Players’ roles also constitute a constraint on the interpersonal coordination for dribbling and shooting. Additionally, it seems that players’ foot preference constrains the dynamics of interpersonal patterns of coordination between participants, especially in left and right zones. The findings suggest that to increase participants’ opportunities for action, coaches should account with field positions, players’ roles and preference foot.

Invariant Manifold and Bounds of Relative Motion Between Heliocentric Displaced Orbits

This paper discusses a methodology for modeling the relative motion between heliocentric displaced orbits by using the Cartesian state variables in combination with a set of displaced orbital elements. Similar to classical Keplerian orbital elements, the newly defined set of displaced orbital elements has a clear physical meaning and provides an alternative approach to obtain a closed-form solution to the relative motion problem between displaced orbits, without linearizing or solving nonlinear equations. The invariant manifold of relative motion between two arbitrary displaced orbits is determined by coordinate transformations, thus obtaining a straightforward interpretation of the bounds, namely, maximum and minimum relative distances of three directional components. The extreme values of these bounds are then calculated from an analytical viewpoint, both for quasi-periodic orbits in the incommensurable case and periodic orbits in the 1:1 commensurable case. Moreover, in some degenerate cases, the extreme values of relative distance bounds can also be solved analytically. For each case, simulation examples are discussed to validate the correctness of the proposed method.

Gas chromatography time-of-flight mass spectrometry based metabolomic approach to evaluating toxicity of triptolide

Metabolomics allows high-throughput analysis of low-molecular-weight compounds in biofluids that reflect the physiological status and biochemical metabolism of living systems. Hence it has the potential to evaluate toxicity and clarifies the metabolism-related toxic mechanisms. In this study a promising candidate drug parent, triptolide, was given to Sprague–Dawley rats as a model toxicant at a single dose of 0.6, or 2.4 mg/kg, i.g. Both routine biochemical assays and histopathological inspection showed time-dependent hepatic toxicity at the higher dose, but no obvious toxicity at the lower dose. Meanwhile, serum metabolome was profiled using the non-targeted metabolomic tool, gas chromatography time-of-flight mass spectrometry. Based on the acquired metabolomic data, mathematical models were calculated and the metabolic patterns of serum were evaluated using projection to latent structure-discriminant analysis. The relative distance of each treated group from the normal control was calculated to provide a measure of toxicity. Treatment with triptolide at either the higher or lower dose caused deviations in the metabolic pattern and resulted in perturbation of taurine, creatinine, free fatty acids, β-hydroxybutyrate, tricarboxylic acid cycle intermediates, and amino acids. This finding indicates the dysfunction of β-oxidation of free fatty acids and impairment of the mitochondria and confirms the hepatic toxicity of triptolide. The identified toxic markers and the calculated relative distance values quantitatively demonstrated dose- and time-dependent toxicity, whereas the scores plot of the model provided the qualitative information. The metabolomic approach was non-invasive and more sensitive than routine toxic assessment, and the results of both methods correlated well.

Retrospective Dose Assessment for the Population Living in Areas of Local Fallout from the Semipalatinsk Nuclear Test Site Part II: Internal Exposure to Thyroid

A methodology to assess internal exposure to thyroid from radioiodines for the residents living in settlements located in the vicinity of the Semipalatinsk Nuclear Test Site is described that is the result of many years of research, primarily at the Moscow Institute of Biophysics. This methodology introduces two important concepts. First, the biologically active fraction, is defined as the fraction of the total activity on fallout particles with diameter less than 50 microns. That fraction is retained by vegetation and will ultimately result in contamination of dairy products. Second, the relative distance is derived as a dimensionless quantity from information on test yield, maximum height of cloud, and average wind velocity and describes how the biologically active fraction is distributed with distance from the site of the explosion. The parameter is derived in such a way that at locations with equal values of relative distance, the biologically active fraction will be the same for any test. The estimates of internal exposure to thyroid for the residents of Dolon and Kanonerka villages, for which the external exposure were assessed and given in a companion paper (Gordeev et al. 2006) in this conference, are presented. The main sources of uncertainty in the estimates are identified.