Possible Relations between Brightest Central Galaxies and Their Host Galaxies Clusters and Groups

Samir, R.M.; Shaker, A. A.

doi:10.2478/amns.2021.1.00002

Cited by 2 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2) Take effective measures. Aiming at the various risks that enterprises may face, on the premise of being proficient in grasping relevant tax-related laws and regulations, and understanding the taxpayer's financial situation and requirements, timely formulate various contingency measures [16], and monitor the development form and status of their production and operation behaviours, Timely feedback. Reflect situations that may occur or are not in line with expectations, and adjust their business goals and implementation processes in a timely manner, in order to reduce the tax risks brought to the enterprise due to the uncertainty of the macro environment through risk prevention and management, and improve risk prevention benefit [17].…”

Section: Other Supporting Conditions For Tax Risk Early Warning Mecha...mentioning

confidence: 99%

Calculus Logic Function in Tax Risk Avoidance in Different Stages of Enterprises

Wang

Guan

2022

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

During the entire development process of corporate tax risks, these risks will show different tax characteristics, which will result in four stages of tax risk evolution: the incubation stage, the development stage, the deterioration stage and the outbreak stage. During the evolution of tax risks and the establishment of an early warning mechanism, enterprises are facing both internal and external environments. From the internal perspective, the company's business management philosophy, the quality of its staff, and the tax risk management system and procedures of the company will affect the establishment of tax risk and early warning mechanisms; from an external understanding, the regional tax environment, the country's financial legal system, and the company's Social relations are also important factors that must be considered in constructing a tax risk early warning mechanism. From the perspective of supporting conditions, in order to optimize the corporate tax risk early warning mechanism, this article considers the following aspects: first, the establishment of an effective internal tax risk control system for enterprises; second, the establishment of a systematic and effective tax risk control procedures; third, Efforts to adapt to the macro environment and actively respond to tax risks; Fourth, adopt effective tax planning skills; Fifth, improve the quality of tax risk prevention for all employees. When discussing the realization of the goal of the tax risk early warning mechanism, the author uses calculus knowledge to make logical derivation; in the risk attitude and tax risk early warning selection, geometric figures are used to describe people's behavioural guidelines intuitively; in the construction of the early warning mechanism, the scoring method Visually integrated the values of various tax risk warning indicators.

show abstract

Section: Other Supporting Conditions For Tax Risk Early Warning Mecha...mentioning

confidence: 99%

Calculus Logic Function in Tax Risk Avoidance in Different Stages of Enterprises

Wang

Guan

2022

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

“…The landslide body was 2 km long, 1.6 km wide, the landslide volume was 240 million m3, and the sliding speed was 15-30 m/s. When the landslide body breaks into the reservoir, a surge of up to 90-130m is generated, causing destructive damage to the reservoir bank and the market town downstream of the dam [1]. During the typhoon on July 6, 2011 in Japan, a large amount of debris flowed into the upper reaches of the Naban Igawa Pingguo Dam, causing swells exceeding 5m in height, causing damage to the dam gate and creating a flooded roof.…”

Section: Introductionmentioning

confidence: 99%

Computer big data modeling system based on finite element mathematical equation simulation

Xiong

Nie

Bayatti

2022

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

In the traditional computer analysis system, the equipment is cumbersome and takes up space, and is gradually being eliminated by the market. In view of the characteristics of small size, large throughput and high precision of computer systems in the era of big data, in order to solve the phenomenon of swell disasters induced by high-speed moving landslides, debris flows and glaciers impacting water bodies in enclosed waters, a mathematical equation based on finite element was developed. The sparse linear multi-thread parallel solving system of the group, using the sparse linear equation solver implemented on the shared memory machine provided by Intel MKL, completed the design of the high-performance finite element analysis program for surge. The theoretical solution and numerical calculation results of vertical dam failure and laboratory experimental results show that the normalized error between the theoretical value calculated by the calculation system designed in this paper and the actual value obtained from the experiment is only 5.2%~6.8% In between, it is verified that the system has rapid reliability and practical engineering significance.

show abstract

Possible Relations between Brightest Central Galaxies and Their Host Galaxies Clusters and Groups

Cited by 2 publications

References 13 publications

Calculus Logic Function in Tax Risk Avoidance in Different Stages of Enterprises

Calculus Logic Function in Tax Risk Avoidance in Different Stages of Enterprises

Computer big data modeling system based on finite element mathematical equation simulation

Contact Info

Product

Resources

About