The volume profile method and its theoretical connection with microeconomic theory as the main premise of its application

Research background: This article was conceived as a very valuable basis and the result of theoretical research in the field of microeconomics with a specific application. Specifically, in the article we tried to accurately describe the logic and predictive weight of the Volume profile method with reference to the exact descriptions of the functioning of the market mechanism. Purpose of the article: The aim of our paper is to describe in detail and identify the microeconomic foundations of the Volume Profile prediction tool. Methods: In the first chapter of the article, we described in detail the investigated method of volume profile. Subsequently, we described its logic, functions and detailed calculation as well as its use. We continued with a description of the basic interactions between supply and demand, as well as a description of the market mechanism. Findings & Value added: The result was an accurate identification and description of the connection between the operation of the investigated prediction method and its microeconomic basis.

Global financial market and tools for its prediction

Research background: In today’s modern world, we can constantly observe turbulent changes in every aspect of human life. These changes have also affected the area of financial markets, where we can identify a gigantic shift in the last few decades. In our article, we focused on the issue of trading in financial markets, the history of trading in contrast to the current situation, but especially the tool for predicting future price movements of financial instruments. In our article, we dealt with the issue of financial markets, their development and prediction tools. Purpose of the article: The aim of our article was to provide a brief overview of the path that the financial markets area has taken in the recent past to the present day. Methods: We used formal methods such as analysis and synthesis of theoretical findings and others. Findings & Value added: Based on the above-mentioned methods, we developed a clear framework for the development of financial markets, forecasting tools and specified the volume profile method and identified its strong relationship to the functioning of financial markets and the auction process itself. We consider the goal of the paper to be fulfilled and we believe it will bring a certain benefit of research in the given area.

Forced Expiratory Time: A Composite of Airway Narrowing and Airway Closure

Forced expiratory time (FET) is a spirometrically-derived variable thought to reflect lung function, but its physiologic basis remains poorly understood. We developed a mathematical theory of FET assuming a linear forced expiratory flow-volume profile that terminates when expiratory flow falls below a defined detection threshold. FET is predicted to correlate negatively with both FEV1 and FVC if variations in the rate of lung emptying (relative to normal) among individuals in a population exceed variations in the amount of lung emptying. We retrospectively determined FET pre- and post-methacholine challenge in 1241 patients (818 had normal lung function, 137 were obstructed, and 229 were restricted) and examined its relationships to spirometric and demographic variables in both hyperresponsive and normoresponsive individuals. Mean FET was 9.6 ± 2.2 s in the normal group, 12.3 ± 3.0 s in those with obstruction, and 8.8 ± 1.9 s in those with restriction. FET was inversely related to FEV1/FVC in all groups, negatively related to FEV1 in the obstructed patients, and positively related to FVC in both the normal and restricted patients. There was no relationship with methacholine responsiveness. Overall, our theory of the relationship between FET to the spirometric indices is supported by these findings, and in addition potentially explains how FET is affected by gender, age, smoking status, and possibly body mass index.

Computational Model of a Two Material Object Predicts Non-Symmetric Dispersal Volume Profile

Convection-enhanced delivery (CED) is an experimental method of localized treatment to release high concentrations of the drug into a target area. An implementation of CED by our lab is the convection-enhanced thermo-therapy catheter system (CETCS). The device is a collection of arborizing microneedles used to affect a broader coverage of a dispersed volume in the regions of interest. We suspect the coverage of the dispersal volume depends on the material properties of the brain the infusate is being administered. In this study, we create a computational model to evaluate how two adjacent materials with varying permeability (4.45 mm4 N-1 s-1 with 13.35 or 35.6 mm4 N-1 s-1) will disperse into a 0.6% (w/w) agarose gel. Transient state analysis was conducted using the FEBio Software Suite. As expected, results show a much larger dispersal volume in the material with the higher permeability and along the border of the two materials.

PROFILE OF LUNGS VOLUME IN THE DIABETES MELITUS AND NON DIABETES MELITUS

International Diabetes Federation states that in 2007 there were 246 million people in the world suffering from diabetes and it is expected to increase to 380 million by 2025. DM can cause susceptibility to infections in the human lung organs due to hyperglycemia. The purpose of this study was to determine the lung volume profile in the form of VT, VCI, VCE and VKP in the DM group and non DM group. This study uses a quantitative descriptive survey design with a sample of 60 people, consisting of 30 people from the DM group and 30 people from the Non DM group. The statistical test used in this study is the Independent statistical sample t-test, the Mann-Whitney test and the Pearson correlation. The results showed: (1) There was a significant difference in the DM of the DM group and the Non DM group with p = 0.021 (p <0.05); (2) There were significant differences in VT, VCI, VCE of the DM group and Non DM group with significant values ​​of VT (p = 0,000 <0.05), VCI (p = 0.003 <0.05) and VCE (p = 0.001 <0.05); (3) There was no significant difference in the VKP of the DM group and the Non DM group with p = 0.805 (p <0.05); (4) Relationship between GD and VT (r = 0.220), GD with VCI (r = 0.308), GD with VCE (r = -0.110), GD with VKP (r = 0.219). So it was concluded that there was a positive relationship between GD and VT, VCI, VKP and also there was a negative relationship between GD and VCE. Suggestion: DM sufferers need to conduct routine checks so that health remains well controlled

Predicting knottiness of Scots pine stems for quality bucking

Stem shapes and wood properties are typically unknown at the time of harvesting. To date, approaches that integrate information about past tree growth into the harvesting and bucking process are rarely used. New models were developed and their potential demonstrated for stem bucking procedures for cut-to-length harvesters that integrate information about external and internal stem characteristics detected during harvesting. In total 221 stems were sampled from nine Scots pine (Pinus sylvestris L.) stands in Finland. The widths of rings 11−20 from the pith were measured using images taken from the end face of each butt log. The total volume of knots in each whorl was measured by using a 4D X-ray log scanner. In addition, 13 stems were test sawn, and the diameters of individual knots were measured from the sawn boards. A model system was developed for predicting the horizontal diameter of the thickest knot for each whorl along a stem. The first submodel predicts the knot volume profile from the stem base upwards, and the second submodel converts the predicted knot volume to maximum knot diameter. The results showed that the knottiness of stems of a given size may vary greatly depending on their early growth rate. The developed system will be used to guide logging operations to achieve more profitable bucking procedures.

Restoring ventilatory control using an adaptive bioelectronic system

Ventilatory pacing via electrical stimulation of the phrenic nerve or of the diaphragm has been shown to enhance quality of life compared to mechanical ventilation. However, commercially-available ventilatory pacing devices require initial manual specification of stimulation parameters and frequent adjustment to achieve and maintain suitable ventilation over long periods of time. Here, we have developed an adaptive, closed-loop, neuromorphic, pattern-shaping controller capable of automatically determining a suitable stimulation pattern and adapting it to maintain a desired breath volume profile on a breath-by-breath basis. In vivo studies in anesthetized intact and C2-hemisected male Sprague-Dawley rats indicated that the controller was capable of automatically adapting stimulation parameters to attain a desired volume profile. Despite diaphragm hemiparesis, the controller was able to achieve a desired volume in the injured animals that did not differ from the tidal volume observed prior to injury (p=0.39). The closed-loop controller was developed and parametrized in a computational testbed prior to in-vivo assessment. This bioelectronic technology could serve as an individualized and autonomous respiratory pacing approach for support or recovery from ventilatory deficiency.

COMMENTARY: Trends in Volume Forecasting: Developments and Applications

The authors examine their 2014 publication “Predicting Intraday Trading Volume and Volume Percentages” and discuss subsequent changes in trading that validated the models outlined in the paper and prompted updates. The original models accommodate the general shift to passive investing and the trend toward ETF investing. Analyzing imbalance information has become more important to institutional traders as relative participation in closing auctions has increased. The authors discuss the evolution of analytical software platforms since the paper and outline expected trends in both volume forecasting and trading analytics. A major application of enhanced volume forecasts relates to the trend of buy-side clients performing scientific experiments to select algorithms and inform parameter selection. Specifically, volume profile error, a metric examined in the paper, provides context to compare broker algorithm performance and real-time volume forecasts can be used in algorithm routing decisions.