Synthesis and properties of heterocyclic compounds (case of Khorezm) 85

Umrzoqov Muhammad Eldor o'g'li

Article · 2025

Synthesis and properties of heterocyclic compounds (case of Khorezm) 85

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20.2002/hj/2025/v11_i1/96566181English

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Authors

Umrzoqov Muhammad Eldor o'g'li ORCID 0000-0002-0021-8582 (opens in a new tab)
Urganch davlat universiteti

Abstract

The article examines synthesis and properties of heterocyclic compounds (case of Khorezm) 85. A comparative analysis of international experience is provided. Practical recommendations are proposed.

Keywords

Bibliographic details

DRI: 20.2002/hj/2025/v11_i1/96566181
Work type: Article
Journal: Huquq va jamiyatISSN 2181-1199
Volume and issue: Vol. 11, No. 1
Pages: 1–10
Published: 7 February 2025
Language: English
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:50, version 1

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References

Sources cited by this work and how they were matched to works in the registry.

11 entries5 matched1 under review5 external

1.
Aliyeva N.M., Po'latova R.J., Rustamova M.A., va boshq. Giperbolik tenglama uchun Koshi masalasining yechimi haqida // Pedagogika. – 2013. – №1. – B. 23–31.
MatchedFuzzy match, S = 1.00→ Giperbolik tenglama uchun Koshi masalasining yechimi haqida
2.
Иванов И.И. Синтез и свойства гетероциклических соединений. – М.: Наука, 2024. – 456 с.
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External source
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Kumar V., Martin C., Schmidt P. (2016). Deep residual learning for image recognition. Journal of Economic Perspectives, 53, 872–955.
External source
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Davletova S.A., Xoliqov B.P. Синтез и комплекснх соединений (на примере Самарканда) 38 // Kimyo va kimyoviy texnologiya. – 2019. – №6. – B. 1–9.
MatchedFuzzy match, S = 1.00
6.
Kim S. (2015). Machine learning methods for credit scoring in developing countries. IEEE Access, 115, 730–950. DOI: 10.1109/ACCESS.2015.868210
External source
7.
Qosimova, M. A. (2024). QISHLOQ XO'JALIGI KORXONALARIDA MARKETING STRATEGIYASI SAMARADORLIGINI OSHIRISH YO'LLARI VILOYATI MISOLIDA). Toshkent.
MatchedFuzzy match, S = 0.98
8.
Anderson R., Johnson M. (2007). Machine learning methods for credit scoring. Energy Policy, 102, 385–942. https://doi.org/10.1016/j.enpol.2007.344092
External source
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O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source
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Abdullayeva Y.G'., Morozova N.G., Smith J. Mahalliy bentonit asosida biologik faol moddalar olish texnologiyasi ba'zi // FarDU ilmiy-uslubiy jurnali. – 2016. – №3. – B. 1–13.
MatchedFuzzy match, S = 1.00
11.
Eshonqulova Z.Z. Evfemizmlarning pragmatik xususiyatlari (Qoraqalpog'iston Respublikasi misolida) // Xorijiy filologiya. – 2024. – №1. – B. 8–14.
MatchedFuzzy match, S = 1.00

Citing works

Works in the registry that cite this work, newest first.

Authors: , Yoqubova Malika, , D. ChoriyevaTibbiyot akademiyasi axborotnomasi
DRI20.1019/ttaa/2025/v11_i2/40192652 Open on nationaldri.uzArticle6views0downloads
Year2025
Citations1

[1] 1.
Aliyeva N.M., Po'latova R.J., Rustamova M.A., va boshq. Giperbolik tenglama uchun Koshi masalasining yechimi haqida // Pedagogika. – 2013. – №1. – B. 23–31.
MatchedFuzzy match, S = 1.00→ Giperbolik tenglama uchun Koshi masalasining yechimi haqida

[2] 2.
Иванов И.И. Синтез и свойства гетероциклических соединений. – М.: Наука, 2024. – 456 с.
Under review

[3] 3.
Выготский Л.С. Педагогическая психология. – М.: Педагогика, 1991. – 480 с.
External source

[4] 4.
Kumar V., Martin C., Schmidt P. (2016). Deep residual learning for image recognition. Journal of Economic Perspectives, 53, 872–955.
External source

[5] 5.
Davletova S.A., Xoliqov B.P. Синтез и комплекснх соединений (на примере Самарканда) 38 // Kimyo va kimyoviy texnologiya. – 2019. – №6. – B. 1–9.
MatchedFuzzy match, S = 1.00

[6] 6.
Kim S. (2015). Machine learning methods for credit scoring in developing countries. IEEE Access, 115, 730–950. DOI: 10.1109/ACCESS.2015.868210
External source

[7] 7.
Qosimova, M. A. (2024). QISHLOQ XO'JALIGI KORXONALARIDA MARKETING STRATEGIYASI SAMARADORLIGINI OSHIRISH YO'LLARI VILOYATI MISOLIDA). Toshkent.
MatchedFuzzy match, S = 0.98

[8] 8.
Anderson R., Johnson M. (2007). Machine learning methods for credit scoring. Energy Policy, 102, 385–942. https://doi.org/10.1016/j.enpol.2007.344092
External source

[9] 9.
O'zbekiston Respublikasining «Ta'lim to'g'risida»gi Qonuni. – Toshkent, 2020.
External source

[10] 10.
Abdullayeva Y.G'., Morozova N.G., Smith J. Mahalliy bentonit asosida biologik faol moddalar olish texnologiyasi ba'zi // FarDU ilmiy-uslubiy jurnali. – 2016. – №3. – B. 1–13.
MatchedFuzzy match, S = 1.00

[11] 11.
Eshonqulova Z.Z. Evfemizmlarning pragmatik xususiyatlari (Qoraqalpog'iston Respublikasi misolida) // Xorijiy filologiya. – 2024. – №1. – B. 8–14.
MatchedFuzzy match, S = 1.00

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