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Results for “"Md. Imran Khan"”

16+ results

Use of quantitative molecular diagnostic methods to assess the aetiology, burden, and clinical characteristics of diarrhoea in children in low-resource settings: a reanalysis of the MAL-ED cohort study

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James A Platts-Mills, Jie Liu, Elizabeth T. Rogawski McQuade, Furqan Kabir et al.

Journal: The Lancet Global HealthYear: 2018Citations: 397

BACKGROUND: Optimum management of childhood diarrhoea in low-resource settings has been hampered by insufficient data on aetiology, burden, and associated clinical characteristics. We used quantitative diagnostic methods to reassess and refine estimates of diarrhoea aetiology from the Etiology, Risk...

Health SciencesNursingNutrition and DieteticsOpen Access
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Use of quantitative molecular diagnostic methods to investigate the effect of enteropathogen infections on linear growth in children in low-resource settings: longitudinal analysis of results from the MAL-ED cohort study

Verified

Elizabeth T. Rogawski McQuade, Jie Liu, James A Platts-Mills, Furqan Kabir et al.

Journal: The Lancet Global HealthYear: 2018Citations: 392

BACKGROUND: Enteropathogen infections in early childhood not only cause diarrhoea but contribute to poor growth. We used molecular diagnostics to assess whether particular enteropathogens were associated with linear growth across seven low-resource settings. METHODS: We used quantitative PCR to dete...

Health SciencesNursingNutrition and DieteticsOpen Access
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Recent Progress in Nanostructured Smart Drug Delivery Systems for Cancer Therapy: A Review

Verified

Md Ishak Khan, Imran Hossain, M. Imran Hossain, M. Khalid Hossain et al.

Journal: ACS Applied Bio MaterialsYear: 2022Citations: 351

Traditional treatment approaches for cancer involve intravenous chemotherapy or other forms of drug delivery. These therapeutic measures suffer from several limitations such as nonspecific targeting, poor biodistribution, and buildup of drug resistances. However, significant technological advancemen...

Physical SciencesMaterials ScienceBiomaterials
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Berberine as a Potential Anticancer Agent: A Comprehensive Review

Verified

Abdur Rauf, Tareq Abu‐Izneid, Anees Ahmed Khalil, Muhammad Imran et al.

Journal: MoleculesYear: 2021Citations: 283

Berberine (BBR), a potential bioactive agent, has remarkable health benefits. A substantial amount of research has been conducted to date to establish the anticancer potential of BBR. The present review consolidates salient information concerning the promising anticancer activity of this compound. T...

Health SciencesMedicinePharmacologyOpen Access
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Shrinkage of Food Materials During Drying: Current Status and Challenges

Verified

Md Mahiuddin, Md. Imran H. Khan, Chandan Kumar, Muhammad Moshiur Rahman et al.

Journal: Comprehensive Reviews in Food Science and Food SafetyYear: 2018Citations: 232

The structural heterogeneities of fruits and vegetables intensify the complexity to comprehend the interrelated physicochemical changes that occur during drying. Shrinkage of food materials during drying is a common physical phenomenon which affects the textural quality and taste of the dried produc...

Life SciencesAgricultural and Biological SciencesFood ScienceOpen Access
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Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders

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Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali et al.

Journal: IEEE AccessYear: 2019Citations: 225

Autism Spectrum Disorder (ASD) is a group of neurodevelopmental disabilities that are not curable but may be ameliorated by early interventions. We gathered early-detected ASD datasets relating to toddlers, children, adolescents and adults, and applied several feature transformation methods, includi...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Carbon stock in the Sundarbans mangrove forest: spatial variations in vegetation types and salinity zones

Verified

Md Mizanur Rahman, Md. Nabiul Islam Khan, Anwarul Hoque, Imran Ahmed

Journal: Wetlands Ecology and ManagementYear: 2014Citations: 211
Physical SciencesEnvironmental ScienceEcology
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Morbidity and mortality from road injuries: results from the Global Burden of Disease Study 2017

Verified

Spencer L James, Lydia R Lucchesi, Catherine Bisignano, Chris D Castle et al.

Journal: Injury PreventionYear: 2020Citations: 182

BACKGROUND: The global burden of road injuries is known to follow complex geographical, temporal and demographic patterns. While health loss from road injuries is a major topic of global importance, there has been no recent comprehensive assessment that includes estimates for every age group, sex an...

Physical SciencesEngineeringSafety, Risk, Reliability and QualityOpen Access
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Honokiol: A review of its pharmacological potential and therapeutic insights

Verified

Abdur Rauf, Ahmed Olatunde, Muhammad Imran, Fahad A. Alhumaydhi et al.

Journal: PhytomedicineYear: 2021Citations: 180

Background Honokiol is a pleiotropic compound which been isolated from Magnolia species such as Magnolia grandiflora and Magnolia dealbata. Magnolia species Magnolia grandiflora is used in traditional medicine for the treatment of various diseases. Purpose The objective of this review is to summariz...

Health SciencesMedicineRehabilitation
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A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem

Verified

Khan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah, Jubayer Al Mahmud et al.

Journal: Journal of Computer ScienceYear: 2020Citations: 164

The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called min...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Investigation of bound and free water in plant-based food material using NMR T2 relaxometry

Verified

Md. Imran H. Khan, R. Mark Wellard, Szilvia Anett Nagy, Mohammad U. H. Joardder et al.

Journal: Innovative Food Science & Emerging TechnologiesYear: 2016Citations: 146

Plant-based food materials are porous and hygroscopic in nature; therefore, it contains three water environments, namely, intercellular, intracellular water and cell wall water. The intercellular water is known as capillary water or free water which is less constrained than intracellular water, cons...

Life SciencesAgricultural and Biological SciencesFood Science
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Experimental investigation of bound and free water transport process during drying of hygroscopic food material

Verified

Md. Imran H. Khan, R. Mark Wellard, Szilvia Anett Nagy, Mohammad U. H. Joardder et al.

Journal: International Journal of Thermal SciencesYear: 2017Citations: 139
Life SciencesAgricultural and Biological SciencesFood Science
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Improved Transfer-Learning-Based Facial Recognition Framework to Detect Autistic Children at an Early Stage

Verified

Tania Akter, Mohammad Hanif Ali, Md. Imran Khan, Md. Shahriare Satu et al.

Journal: Brain SciencesYear: 2021Citations: 138

Autism spectrum disorder (ASD) is a complex neuro-developmental disorder that affects social skills, language, speech and communication. Early detection of ASD individuals, especially children, could help to devise and strategize right therapeutic plan at right time. Human faces encode important mar...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey

Verified

Khan Md. Hasib, Md Rafiqul Islam, Shadman Sakib, Md. Ali Akbar et al.

Journal: IEEE Transactions on Computational Social SystemsYear: 2023Citations: 129

Users can interact with one another through social networks (SNs) by exchanging information, delivering comments, finding new information, and engaging in discussions that result in the production of vast volumes of data daily. These data, available in various forms, such as images, text, and videos...

Social SciencesPsychologySocial Psychology
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Machine learning‐based modeling in food processing applications: State of the art

Verified

Md. Imran H. Khan, Shyam S. Sablani, Richi Nayak, Yuantong Gu

Journal: Comprehensive Reviews in Food Science and Food SafetyYear: 2022Citations: 129

Food processing is a complex, multifaceted problem that requires substantial human interaction to optimize the various process parameters to minimize energy consumption and ensure better-quality products. The development of a machine learning (ML)-based approach to food processing applications is an...

Life SciencesAgricultural and Biological SciencesFood Science
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