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Use of Raw and Physically Modified Rice Starches as Fat Replacer in Whipping Cream

Shah Asma Iftikhar1, Himjyoti Dutta2*

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DOI : http://dx.doi.org/10.12944/CRNFSJ.8.1.11

The Production of Bacterial Cellulose from Organic Low-Grade Rice

Yuwarat Photphisutthiphong1*, Savitri Vatanyoopaisarn2

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DOI : http://dx.doi.org/10.12944/CRNFSJ.8.1.19

Understanding of Health Risks by the Use of Energy Drinks Among Millennial Generation of Karachi, Pakistan

Auwais Ahmed Khan1, Tariq Ali*1, Muhammad Imran2, Syed Ahsan Ali1 and Madiha Khan1

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DOI : http://dx.doi.org/10.12944/CRNFSJ.5.3.09

Quantitative Microbiological Risk Assessment of Two Street Foods Sold in a Kenyan Town with Regard to Salmonella Contamination

Samuel Imathiu

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DOI : http://dx.doi.org/10.12944/CRNFSJ.6.1.05

Dietary Diversity and Associated Health Status of Newly Diagnosed Type 2 Diabetic Patients in Jashore Region of Bangladesh

Sharmin Sultana1, Nazia Nawshad Lina1, Md. Tarek Hasan1, Md. Jannatul Ferdaus1, Biplab Kumar Dash2, Tanvir Ahmad1,3 and Rajib Kanti Roy1,3*

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DOI : http://dx.doi.org/10.12944/CRNFSJ.8.2.09

Bioactive Compounds and Sensory Properties of Organic Rice: The Impact of Degree of Milling

Wahyudi David1*, Ardiansyah1, Slamet Budijanto2, Johannes Kahl3, Carola Strassner4

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DOI : http://dx.doi.org/10.12944/CRNFSJ.8.2.04

An Investigation Into How Far Do Residents Adopt Measures to Reduce Microbial Hazards During Food Handling

Rajesh Jeewon* , Seerauj Nouvishika, Dauharry Soodesh Kumar and Ahinsa Jheelan-Ramchandur

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DOI : http://dx.doi.org/10.12944/CRNFSJ.5.1.02

Low 25 Hydroxyvitamin D and High Leptin Level as Risk Factors of Metabolic Syndrome in Obese Women

Luh Putu Ratna Sundari1*, Susy Purnawati1, I Ketut Tunas2 and I Wayan Weta3

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DOI : http://dx.doi.org/10.12944/CRNFSJ.10.3.29

Isolation and Purifying of Xylooligosaccharides from Various Mongolian Food Processing By-Products

Odgerel Chinbat1, Purevdulam Erdenetsog1, Battogtokh Chimeddorj2, Munkhjargal Burenjargal3and Munkhtsetseg Janlav1*
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DOI : http://dx.doi.org/10.12944/CRNFSJ.12.3.35

Development and Performance Analysis of Machine Learning Methods for Predicting the Occurrence of Constipation and its Risk Factors Among College-aged Girls

Joyeta Ghosh1* and Poulomi Sanyal2
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DOI : http://dx.doi.org/10.12944/CRNFSJ.12.3.23

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