Ushbu maqolada to‘qimachilik sanoati korxonalarida narx strategiyasini shakllantirish tamoyillari va samarali narx belgilash usullari tahlil qilingan. Narx siyosati korxonaning bozor mavqeini mustahkamlash, raqobatbardoshlikni oshirish va daromadni optimallashtirishda muhim rol o‘ynaydi. Maqolada xarajatga asoslangan, raqobatga yo‘naltirilgan, bozorga kirish, differensial va qimmatbaho narx strategiyalari ko‘rib chiqilgan. Shuningdek, samarali narx strategiyasini shakllantirish yo‘llari, jumladan, bozor tahlili, moslashuvchan narx siyosati va brend imidjini mustahkamlash muhim omillar sifatida ta’kidlangan. Tadqiqot natijalari to‘qimachilik sanoati korxonalariga bozor talablariga mos narx siyosatini yuritishda amaliy tavsiyalar beradi.

Bul maqalamda Ibrayim Yusupov ham To'lepbergen Qayipbergenov penen zamanlas boʻlgan. Shayirimiz zaman shinlig'in suwretlegen. Qaraqalpaqstan ha'm O'zbekstan xaliq shayiri. O'zbekstan Qahramani ataqlarina iye bolg'an. Shayir hurmetine Prezident parmani menen Ibrayim Yusupov atindag'i Do'retiwshilik mektebi ashildi. Sonin' menen birge Qaraqalpaqstan Respublikasi Gimininin' so'zin jazg'an.

The article discusses the issue of women's rights and equality in Islam. Islam calls for women to be granted equal rights with men, assigning them a specific status and responsibility. The Quran and Hadith clearly define women's rights to education, work, property ownership, and participation in social life. Also, the obligations between men and women in family life are based on the principles of justice. The article analyzes the role of women in Islam from a philosophical and modern point of view, paying attention to the issue of gender equality.

Maqolada mahalliy jamoat transporti (avtobuslar)da yong‘inlarning kelib chiqish sabablari va ularning oldini olish uchun tavsiyalar berilgan.

In this research, a combination of Linear Regression and K-Nearest Neighbors (KNN) was utilized to analyze the relationship between nutritional composition (carbohydrates, fats, and proteins) and shelf-life of food products. The primary objective was to enhance the predictive accuracy of food expiration dates using machine learning techniques.