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Use of Exponential Function in Plant Growth Analysis: A Mathematical Study of Herbal Plants in Nepal Thakur, Kritika Kumari; Sahani, Suresh Kumar; Thakur, Ambika Kumari; Sahani, Kameshwar; Prasad, Nayan Kumar; Sah, Binod Kumar
TSAQOFAH Vol 4 No 3 (2024): MEI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v4i3.3110

Abstract

Plants are the reason why we all human beings or living beings are alive. We are nothing without plants. We Nepalese are lucky that we don’t only have a large variety of plants but also many more rare plants which are not easily found all over the world. Some of the rare plants are Rhododendron, Jatamanshi, Yarshagumba, etc. which not only have medicinal importance but also are very expensive. Above 80% crude herbs are exported to India, China and other countries. But one of the saddest things is Nepal hasn’t yet become one of the most popular or largest countries to export herbs. Maybe because we are surrounded by land. But there are various geographical importance of Nepal. We should consider it and extend the export rate. Nepal is rich in medicinal plants and aromatic plants, from Terai to Himalayan region. Due to the geography, Nepal. Consists of some of the unbelievable medicinal herbs which can cure various diseases. In this project I have discussed some of the precious herbal plants found in Nepal.
Study and Analysis of Some Real Life Applications of Exponential Function Mahato, Suraj Kumar; Sahani, Suresh Kumar; Sahani, Kameshwar; Sah, Binod Kumar; Karna, Santosh Kumar
EDUMALSYS Journal of Research in Education Management Vol 2 No 1 (2024): EDUMALSYS Journal of Research in Education Management
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/edumalsys.v2i1.2845

Abstract

The exponential function as a mathematical concept plays an important role in the Corpus of mathematical knowledge, but unfortunately Students have problems grasping it. Paper exposes examples of exponential function application in a real-world (life).One of the most prevalent applications of exponential functions Involves growth and decay models. Exponential growth and decay show up in a host of natural applications. From population growth and continuously compounded Interest to radioactive decay and Newton's law of cooling, exponential functions are ubiquitous in nature. In this section, we examine exponential grown and decay in the context of some of the applications. In the preceding section, we examined a population growth problem in which the population grew at a fixed percentage each year. In that case, we found that the population can be described by an exponential function. A similar analysis will show that any process in which a quantity grows by a fixed percentage each year (or each day, hour etc.) can be modeled by an exponential function. Compound Interest is a good example of such a process. Other applications of exponential function are bacterial growth, bacterial decay, population decline, are obtained in this project.
A Study and Examined of Exponential Function: A Journey of Its Applications in Real Life Sah, Kishan Kumar; Sahani, Suresh Kumar; Sahani, Kameshwar; Sah, Binod Kumar
Mikailalsys Journal of Advanced Engineering International Vol 1 No 1 (2024): Mikailalsys Journal of Advanced Engineering International
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjaei.v1i1.2791

Abstract

In this report, we have examined the real life applications of exponential function on the following topics: depreciation, population growth, bacterial growth, compound interest, population of one-horned rhino.
Enrollment of Vector in Cardiology and Study of Cardiac Cadence Mishra, Sujal; Sahani, Suresh Kumar; Sahani, Kameshwar; Sah, Binod Kumar; Singh, Vijay Vir
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 1 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i1.2301

Abstract

We have analyzed the application of vectors in cardiology and the way cardiac vector theory analyzes the heartbeat and can explain the entire cardiac conduction vector relationship and the Enthoven equilateral triangle hypothesis. This sheet explains the principles of the electrocardiogram and the interpretation of the waveforms. ECG can be called an electrocardiogram, which is a process of producing electrical activity through repetitive cycles. This diagram shows the voltage and duration of electrical activity by placing electrodes on the skin. Vector cardiography ( VCG) is a procedure that creates a 2D image of the heart's electrical activity by monitoring the spatial location of ECG waves at each successive point in their period. Even in the 21st century, coronary heart disease still represents a serious threat to humans and a major challenge to the scientific community. The most important elements for understanding and interpreting the ECG are the Enthoven triangle and the cardiac vector hypothesis, which have the potential , saving millions of lives when used quickly and appropriately to treat patients.
Poisson-New Quadratic-Exponential Distribution Sah, Binod Kumar; Sahani, Suresh Kumar
Mikailalsys Journal of Mathematics and Statistics Vol 2 No 2 (2024): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v2i2.2862

Abstract

This proposed distribution is a discrete compound probability distribution with only one parameter. To get this distribution, Poisson distribution has been mixed with the New Quadratic-Exponential distribution of Sah (2022). Hence, it is named as “Poisson-New Quadratic-Exponential Exponential Distribution (PNLED)”. The important statistical characteristics needed to check the validity of this distribution have been derived and clearly explained. To check the validity of the theoretical works of this distribution, while using goodness of fit on some over-dispersed count data, what we have been found that this distribution seems a better alternative of Poisson-Lindley distribution (PLD) of Sankaran (1970), Poisson Mishra distribution (PMD) of Sah (2017) and Poisson-Modified Mishra distribution (PMMD) of Sah and Sahani (2023).