Journal Description

International Journal on Orange Technologies (IJOT) is an online international peer-reviewed journal which publishes high-quality original scientific papers, short communications, correspondence, and case studies in areas of research, developments and applications of orange technology and engineering. Review articles of current interest and high standard may be considered. Only those manuscripts are considered for publication, the contents of which have not been published and are not being considered for publication in any other journal.

Vol. 2 No. 1 (2020): IJOT

Published: Jul 15, 2020

Prevalence of Iron Deficiency Anemia Among Children

1-3 Ikhtiyorov Shakhboz Ikhtiyor Ugli
17

Topic "Fox Optics" in Higher Educational Institutions Teaching Through the Method of “Working in Small Groups”

4-7 Seytimbetova Gulbadan Azatovna
16

Achaemenid Public Government Institutions

8-12 Shodmonova Gulizor Farhodovna
11

Grammar rules-like as developing the practical direction of linguistics

13-15 Khamidova Zarina Khomidovna
30

Varakhsha memory

16-18 Muhinova Rushana Jasurovna
10

The Importance of Mother Tongue Lessons in the Formation of Spiritual and Moral Virtues of Primary School Students

19-21 Fayzullayeva Shahzoda Akmalovna, Abdullayeva Dilshoda Otabekovna
19

The Importance of English Language

22-24 NIYOZOVA AZIZA ILYOSOVNA
12

What disease is a coronavirus infection?

25-28 Rakhmonova Feruza Sherbek qizi
11

Specific Sciences are More Important than the Humanities in the Education System

29-34 Fayzullayeva Shahzoda Akmalovna
13

Mahmudkhoja Behbudiy's Approach to Bekhbudiyi's Cultural Autonomy Project of Turkey and the Political Governance Policy

35-39 Mukhtarov Sardorbek Saydullo ogli, Gayratova Gulzoda San'atbek qizi, Mamajonova Gulmira Dilbek qizi
13

The Future of Our Country is in the Hands of Youth

40-42 Shodiyev Alisher, Hojiev Sherali
10

Some Historical Information about the Life and Mathematical Heritage of Beruni

43-45 Farmonova M. O., Sultanov J. S.
11

Study of Brain Region Segmentation Using Convolutional Neural Network

46-64 Sachin Singh
56
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