Predictability of temperature and pressure for issuing aircraft take-off forecast over Madras airport

Forecasting surface temperature and pressure to a reasonable degree of accuracy atleast 3 hours ahead of the scheduled departure of an aircraft helps the aircrew to make the optimum planning for the payload and cargo load. The method of generalised Adaptive Filter (AF) algorithm as suggested by Makridakis and Wheelright (1978) has been used to forecast temperature and pressure over Madras airport and the forecast efficiency is compared with that obtained through method of persistency, auto regressive processes and other statistical techniques. The dimensions of attractors of the phase space trajectories of these variables have been estimated using the Grassberger and Procaccia (1983) algorithm of correlation fractal dimension with a view to find out the predictability of these variables and the minimum and maximum number of parameters needed for modelling these variables.

The Role of RAMP Initiative (Reading and Mathematics Project) in Raising the Level of Students in the Basic stage in Reading and Numeracy Skills

This study aimed to identify the RAMP initiative’s role (read comprehensively, answer with understanding) in raising the level of literacy skills and numeracy from the point of view of teachers. It also aimed to identify its effectiveness in improving the reading and writing level of the basic minimum stage, as an initiative that reduces the delay in reading and helps in the development of skills to help students solve mathematical problems with understanding and accommodating. Closed questionnaires were distributed to the Central Badia region; the questionnaire consisted of (35) paragraphs divided into three areas of reading, writing, and arithmetic, where 88 teachers answered the questionnaire. Statistical analysis was adopted (Statistical Package of Social Sciences (SPSS) was adopted to show the study results. The results showed a role for the RAMP initiative in raising the level of reading and numeracy skill to a reasonable degree, where the skill of reading got a good degree, was the highest skill of voice awareness to an extraordinary degree and other standards are good. Writing skill got a good degree; it was the highest, the skill of writing words and the least skill of creative writing, and also obtained the skill of calculating a good degree above (counting units) and the lowest domain (participation and composition of groups). The results showed no statistically significant differences due to variable years of experience, while the results showed statistically significant differences in favor of a bachelor’s degree.

Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes

While cosmological dark matter-only simulations relying solely on gravitational effects are comparably fast to compute, baryonic properties in simulated galaxies require complex hydrodynamic simulations that are computationally costly to run. We explore the merging of an extended version of the equilibrium model, an analytic formalism describing the evolution of the stellar, gas, and metal content of galaxies, into a machine learning framework. In doing so, we are able to recover more properties than the analytic formalism alone can provide, creating a high-speed hydrodynamic simulation emulator that populates galactic dark matter haloes in N-body simulations with baryonic properties. While there exists a trade-off between the reached accuracy and the speed advantage this approach offers, our results outperform an approach using only machine learning for a subset of baryonic properties. We demonstrate that this novel hybrid system enables the fast completion of dark matter-only information by mimicking the properties of a full hydrodynamic suite to a reasonable degree, and discuss the advantages and disadvantages of hybrid versus machine learning-only frameworks. In doing so, we offer an acceleration of commonly deployed simulations in cosmology.

Effects of slicing parameters on measured fill density for 3D printing of precision cylindrical constructs using Slic3r

The goal of this research is to develop and verify an algorithm to predict the fill density of 3D printed cylindrical constructs as a function of critical slicing parameters. Open-source 3D printing is being applied to the pharmaceutical and biomedical domains where characteristics including drug release rate and compressive strength depend on fill density. Understanding how slicing parameters affect fill density in the printed construct is important to appropriately tailor these characteristics. In this study, we evaluated the relationship between slicing fill density (SFD), extrusion width (EW), layer height (LH), construct diameter and measured fill density (MFD). The developed algorithm provides novel insight into the effects of interconnects and rasters on the distribution of intra-matrix material. We analyze 27 combinations involving 3 levels of EW (0.40, 0.44, 0.48 mm), SFD (15, 25, 35%) and LH (0.15, 0.20, 0.25 mm). The SFD is smaller than and deviates from MFD with a maximum error of 18.62% and from predicted fill density (PFD) with a maximum error of 19.50% compared to the maximum error of 4.30% between PFD and MFD. The predicted interconnect contribution and error reduce with increasing SFD and cylinder diameter but are more prominent at lower values. Our work highlights the perils of employing open-source 3D printing without a sound understanding of the underlying parametric relationships. The proposed predictive model could be used in conjunction with Slic3r, an open-source slicing software, to predict fill density to a reasonable degree of accuracy (less than 5% error) for relatively smaller cylindrical constructs.

Magnetoencephalography and developmental cognitive neuroscience

Magnetoencephalography (MEG) is an exceptionally useful tool to study child development. It measures brain waves: fluctuations in the magnetic field around the head caused by changes in the local field potential of neuronal populations that fire in synchrony. MEG has a high-temporal resolution, and a reasonable degree of spatial precision. It offers insights into how the brain responds to events, how brain rhythms affect perception and performance, and how different areas talk to each other. In addition to its scientific benefits, MEG is safe, silent, and requires relatively little setup time. In this chapter, the authors outline the origins of the MEG signal, provide practical tips specific to testing children, and describe a wide variety of analysis methods.

MEDICAL NEGLIGENCE: CURRENT SCENARIO IN INDIA

Medical profession, one of the noblest professions, but not immune to negligence due to lack of reasonable degree of care and skill or willful negligence, which causes injury or death of the patient. There is no proper guideline in India to tackle the issues related to the medical negligence. So, interpretation of law by the different court and law enforcing agencies along with the circumstantial evidence related to negligence cases, sometimes becomes misleading and lead to wrong conviction and punishment. So, doctors are always afraid of its impact on them. Many landmark judgments have been passed by various courts and consumer forums in civil and criminal negligent cases, against doctors and health institutions, to award compensation in alleged negligence cases. Now a days, people are more aware of their rights and health, so cases of medical negligence have significantly gone up over the past few years. A basic knowledge of how medical negligence is adjudicated in the various judicial courts of India will help a doctor to practice his profession without undue worry about facing litigation for alleged medical negligence. The present article aims at discussing the various aspects of negligence, and current scenario in India and discussion with different landmark judgements of cases related to medical negligence.

SIMPLIFICATION POSSIBILITIES FOR COUPLED THM MODELS OF ARTIFICIAL GROUND FREEZING IN THE CONSTRUCTION OF MINE SHAFTS

An important stage in the design of the artificial ground freezing during the construc-tion of mine shafts (and other underground structures) is the simulation of deformation and heat transfer in the media to be frozen. This is necessary to calculate the required thicknesses of frozen wall, the time of its formation and the parameters of freezing stations. The choice of an adequate mathematical model is impossible without analyzing the significance and coupling of various physical processes occurring during the freezing of soil. Such an analysis allows se-lecting a reasonable degree of detailing of physical processes in the model: take into account all important factors and neglect the rest. This article proposes a methodology for analyzing the significance and coupling of such physical processes. For this, a general thermo-hydro-mechanical model of soil freezing has been formulated, a set of dimensionless complexes has been identified and classified, which determine the relationship between various physical pro-cesses. The transition from the general thermo-hydro-mechanical model to simpler models is possible only if the corresponding dimensionless complexes are small.

General Provisions On Duties Of Company Officials In The Legislation Of Ukraine

The purpose of the article is to study the provisions of the current legislative acts of Ukraine, which regulate the legal status and duties of the company’s officials, compare the completeness and detail of the regulation of duties of officials for joint stock companies, limited liability companies and additional liability companies. The main methods of research applied by the author are analysis and comparison. The norms of the Civil and Commercial Codes of Ukraine, laws of Ukraine on JSC, LLC and ALC were investigated. The article explores the provisions of the proposed draft law on joint stock companies; proposals for improving the legal regulation of this issue are analyzed. The author explored that new law contains such general provisions on duties of the joint stock company officials: the officials must act in the interests of the company, within the powers granted to them by the charter of the company and the legislation; act in good faith and reason; act in a manner that, in their good faith, will contribute to achieving the goal of the company. Also new regulation is supposed to include a list of duties of officials such as: 1) the duty to facilitate the company’s achievement of successful results in accordance with this Law; 2) the duty to make independent decisions in accordance with this Law; 3) duty to act with a reasonable degree of diligence, professionalism and diligence in accordance with this Law; 4) duty to avoid conflicts of interest; 5) duty to refrain from accepting benefits (benefits) from third parties; 6) duty of notification about the interest in the company’s agreement. The author expressed positive comments on certain proposed changes, such as establishing a list of duties for officials of the joint stock company and determining the responsibility for these duties breaking, as well as negative comments on law drafting technique, vague concepts and providing the possibility of an exceptional approach towards responsibility for duties breach.

A Synthesis of Non-Fraud Forensic Accounting Research

We synthesize literature and courtroom opinions related to non-fraud forensic accounting topics to better understand the nature and extent of relevant works, and to highlight areas where there is a need for future research. We approach this by summarizing literature from accounting, forensic economics, valuation, and legal sources; where appropriate, we supplement with courtroom opinions. We concentrate on non-fraud forensic accounting issues relevant to academics and practitioners in several areas, including the forensic accountant as the expert witness, valuation, individual damages (sometimes referred to as forensic economics), and commercial damages: lost profits. We discuss prior research findings and court opinions related to qualifications, work product, and communication skills of forensic accountants required to complete the work to a reasonable degree of scientific certainty. We close with a discussion of emerging technologies and the need for critical examination of how such technologies are likely to impact forensic accounting.