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Results for “"MR Islam"”

41+ results

Patterns of antibiotic use, pathogens, and prediction of mortality in hospitalized neonates and young infants with sepsis: A global neonatal sepsis observational cohort study (NeoOBS)

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Neal Russell, Wolfgang Stöhr, Nishad Plakkal, Aislinn Cook et al.

Journal: PLoS MedicineYear: 2023Citations: 163

BACKGROUND: There is limited data on antibiotic treatment in hospitalized neonates in low- and middle-income countries (LMICs). We aimed to describe patterns of antibiotic use, pathogens, and clinical outcomes, and to develop a severity score predicting mortality in neonatal sepsis to inform future ...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study

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Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.

Journal: IEEE AccessYear: 2022Citations: 163

Identification of brain tumors and accurate grading at an early stage are crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges and risks of tumor biopsies, noninvasive imaging procedures such as Magnetic Resonance Imaging (MRI) are exten...

Life SciencesNeuroscienceNeurologyOpen Access
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Manganese Ferrite Nanoparticles (MnFe2O4): Size Dependence for Hyperthermia and Negative/Positive Contrast Enhancement in MRI

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Khairul Islam, M. Manjurul Haque, Arup Kumar, Amitra Hoq et al.

Journal: NanomaterialsYear: 2020Citations: 163

We synthesized manganese ferrite (MnFe2O4) nanoparticles of different sizes by varying pH during chemical co-precipitation procedure and modified their surfaces with polysaccharide chitosan (CS) to investigate characteristics of hyperthermia and magnetic resonance imaging (MRI). Structural features ...

Physical SciencesMaterials ScienceBiomaterialsOpen Access
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Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 etiologic agent of global pandemic COVID-19: an in silico approach

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M. Shaminur Rahman, M. Nazmul Hoque, M. Rafiul Islam, Salma Akter et al.

Journal: PeerJYear: 2020Citations: 162

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of international concerns declared by the World Health Organization (WHO). An immuno-informatics approach along with comparati...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

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Md. Reazul Islam, Md. Mohsin Kabir, M. F. Mridha, Sultan Alfarhood et al.

Journal: SensorsYear: 2023Citations: 158

With an aging population and increased chronic diseases, remote health monitoring has become critical to improving patient care and reducing healthcare costs. The Internet of Things (IoT) has recently drawn much interest as a potential remote health monitoring remedy. IoT-based systems can gather an...

Health SciencesMedicineCardiology and Cardiovascular MedicineOpen Access
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Harnessing visible light for sustainable biodiesel production with Ni/Si/MgO photocatalyst

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Aminul Islam, Siow Hwa Teo, Md. Tarekul Islam, Achintya Mondal et al.

Journal: Renewable and Sustainable Energy ReviewsYear: 2024Citations: 149

Sustainable energy sources frequently demonstrate greater reliability and resilience in comparison to conventional energy sources. Biodiesel, with its markedly reduced carbon footprint when compared to petroleum-based diesel fuel, owes this advantage to its production from renewable resources. Heter...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
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A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions

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Tauhidul Islam, Md Sadman Hafiz, Jamin Rahman Jim, Md. Mohsin Kabir et al.

Journal: Healthcare AnalyticsYear: 2024Citations: 144

Data augmentation involves artificially expanding a dataset by applying various transformations to the existing data. Recent developments in deep learning have advanced data augmentation, enabling more complex transformations. Especially vital in the medical domain, deep learning-based data augmenta...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation

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Md Reazul Islam, Khondokar Oliullah, Md. Mohsin Kabir, Munzirul Alom et al.

Journal: Journal of Agriculture and Food ResearchYear: 2023Citations: 143

Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains a significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients and provide accurate crop recommenda...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Evaluation of Drought Tolerance of Some Wheat (Triticum aestivum L.) Genotypes through Phenology, Growth, and Physiological Indices

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M. Kaium Chowdhury, M. A. Hasan, MM Bahadur, MR Islam et al.

Journal: AgronomyYear: 2021Citations: 142

Increasing human population and changing climate, which have given rise to frequent drought spells, pose a serious threat to global food security, while identification of high yielding drought tolerant genotypes remains a proficient approach to cope with these challenges. To offer a methodology for ...

Life SciencesAgricultural and Biological SciencesAgronomy and Crop ScienceOpen Access
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Textile Dyeing Effluents and Environment Concerns - A Review

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MR Islam, M. G. Mostafa

Journal: Journal of Environmental Science and Natural ResourcesYear: 2019Citations: 141

Textile dyeing effluent is considered as one of the most environmentally unfriendly industrial processes. The study aimed to review the different types of textile dyes use in the industrial processes and their contribution to environmental pollution in South Asian countries. The article was prepared...

Physical SciencesChemistryAnalytical ChemistryOpen Access
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Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges

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Showrov Islam, M Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim et al.

Journal: IEEE AccessYear: 2024Citations: 132

Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training. GANs have found crucial applications in various fields, including medical imaging. In healthcare, GANs contribute by ...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Molecular characterization of <i>Staphylococcus aureus</i> strains in bovine mastitis milk in Bangladesh

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M. Nazmul Hoque, Ziban Chandra Das, Md. Ataur Rahman, M.G. Haider et al.

Journal: International Journal of Veterinary Science and MedicineYear: 2018Citations: 129

Staphylococcus aureus is a common causative agent of bovine mastitis in dairy herds worldwide. This study was designed to assess the prevalence of mastitis in cows through screening tests and molecular characterization of Staphylococcus aureus strains. Out of 175 randomly screened cows, mastitis was...

Life SciencesAgricultural and Biological SciencesAgronomy and Crop ScienceOpen Access
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The interplay of factors in metabolic syndrome: understanding its roots and complexity

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Md. Sharifull Islam, Ping Wei, Md Suzauddula, Ishatur Nime et al.

Journal: Molecular MedicineYear: 2024Citations: 125

Metabolic syndrome (MetS) is an indicator and diverse endocrine syndrome that combines different metabolic defects with clinical, physiological, biochemical, and metabolic factors. Obesity, visceral adiposity and abdominal obesity, dyslipidemia, insulin resistance (IR), elevated blood pressure, endo...

Health SciencesMedicineEpidemiologyOpen Access
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Possible involvement of inflammatory/reparative processes in the development of uterine fibroids

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Olga Protic, Paolo Toti, Md Soriful Islam, Rossella Occhini et al.

Journal: Cell and Tissue ResearchYear: 2015Citations: 123

Uterine leiomyomas are benign tumors in the smooth muscle layer of the uterus. The most common histological type is the "usual leiomyoma", characterized by overexpression of ECM proteins, whereas the "cellular type" has higher cellular content. Our objective is to investigate the involvement of infl...

Health SciencesMedicineObstetrics and Gynecology
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Recent Advances in Pyridine Scaffold: Focus on Chemistry, Synthesis, and Antibacterial Activities

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Md. Badrul Islam, Md. Inshaful Islam, Nikhil Nath, Talha Bin Emran et al.

Journal: BioMed Research InternationalYear: 2023Citations: 120

Multidrug‐resistant (MDR) pathogens have created a fatal problem for human health and antimicrobial treatment. Among the currently available antibiotics, many are inactive against MDR pathogens. In this context, heterocyclic compounds/drugs play a vital role. Thus, it is very much essential to explo...

Physical SciencesChemistryOrganic ChemistryOpen Access
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Microplastics in aquatic environments: A comprehensive review of toxicity, removal, and remediation strategies

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A.S. Shafiuddin Ahmed, Md Masum Billah, Mir Mohammad Ali, Md Khurshid Alam Bhuiyan et al.

Journal: The Science of The Total EnvironmentYear: 2023Citations: 115

The occurrence of microplastics (MPs) in aquatic environments has been a global concern because they are toxic and persistent and may serve as a vector for many legacies and emerging pollutants. MPs are discharged to aquatic environments from different sources, especially from wastewater plants (WWP...

Physical SciencesEnvironmental SciencePollution
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A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders

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Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir et al.

Journal: BiologyYear: 2022Citations: 113

Neurological disorders (NDs) are becoming more common, posing a concern to pregnant women, parents, healthy infants, and children. Neurological disorders arise in a wide variety of forms, each with its own set of origins, complications, and results. In recent years, the intricacy of brain functional...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images

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Moinul Islam, Md Tanzim Reza, Mohammed Kaosar, Mohammad Zavid Parvez

Journal: Neural Processing LettersYear: 2022Citations: 111

Medical institutions often revoke data access due to the privacy concern of patients. Federated Learning (FL) is a collaborative learning paradigm that can generate an unbiased global model based on collecting updates from local models trained by client’s data while keeping the local data private. T...

Life SciencesNeuroscienceNeurologyOpen Access
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Effects of introduction of common carp, Cyprinus carpio (L.), on the pond ecology and growth of fish in polyculture

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Mohd Helmy Abd Wahab, Zoarder Faruque Ahmed, Md. Aminul Islam, Muhammad Shahidul Haq et al.

Journal: Aquaculture ResearchYear: 1995Citations: 103

The effects of introduction of common carp, Cyprinus carpio (L.). in polyculture with major Indian carps and silver carp were studied in fertilized and fed earthen ponds in Mymensingh, Bangladesh. Bottom-dwelling common carp were found to exert an influence on the quality and quantity of planktonic ...

Life SciencesAgricultural and Biological SciencesAquatic Science
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Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes

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Md Raisul Islam, Md Zakir Hossain Zamil, Md. Eshmam Rayed, Md. Mohsin Kabir et al.

Journal: IEEE AccessYear: 2024Citations: 98

Ensuring product quality and integrity is paramount in the rapidly evolving landscape of industrial manufacturing. Although effective to a certain degree, traditional quality control methods often fail to meet the demands for efficiency, accuracy, and adaptability in today’s fast-paced production en...

Physical SciencesEngineeringIndustrial and Manufacturing EngineeringOpen Access
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