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Results for “"Tasmin Karim"”

21+ results

Serum retinol and biochemical measures of iron status in adolescent schoolgirls in urban Bangladesh.

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Faruk Ahmed, Md Mizanur Rahman Khan, Rezaul Karim, S Taj et al.

Journal: PubMedYear: 1996Citations: 39

OBJECTIVE: To examine the relationship between serum retinol and biochemical indices of iron nutritional status amongst adolescent girls in urban Bangladesh. DESIGN: A cross-sectional study. SETTING: Girls' high schools in Dhaka City, Bangladesh. SUBJECTS: Adolescent girls, n = 225, aged between 12 ...

Health SciencesMedicineHematology
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A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction

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Md. Shazzad Hossain Shaon, Tasmin Karim, Shahriar Shakil, Md. Zahid Hasan

Journal: Healthcare AnalyticsYear: 2024Citations: 38

In recent decades, breast cancer has become the most prevalent type of cancer that impacts women in the world, which shows a significant risk to the death rates of women. Early identification of breast cancer might drastically decrease patient mortality and greatly improve the chance of an effective...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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ANNprob-ACPs: A novel anticancer peptide identifier based on probabilistic feature fusion approach

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Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Fahim Sultan, Md. Zahid Hasan et al.

Journal: Computers in Biology and MedicineYear: 2023Citations: 26

Anticancer Peptides (ACPs) offer significant potential as cancer treatment drugs in this modern era. Quickly identifying active compounds from protein sequences is crucial for healthcare and cancer treatment. In this paper ANNprob-ACPs, a novel and effective model for detecting ACPs has been impleme...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features

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Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Fahim Sultan, Md. Mamun Ali et al.

Journal: Scientific ReportsYear: 2024Citations: 20

Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning arises from the need for efficiency to accelerate the discovery of AMPs, and contr...

Life SciencesImmunology and MicrobiologyMicrobiologyOpen Access
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Physiological Changes of Wheat Varieties Under Water Deficit Condition

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T Tasmina, AR Khan, AJMS Karim, N Akter et al.

Journal: Bangladesh Agronomy JournalYear: 2017Citations: 13

The experiment was carried out at the research field of the Department of Agronomy of Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur during November 2014 to March 2015 to assess and evaluate the physiological derivations of wheat varieties under water deficit condition. The exper...

Life SciencesAgricultural and Biological SciencesSoil ScienceOpen Access
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MLAFP-XN: Leveraging neural network model for development of antifungal peptide identification tool

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Md. Fahim Sultan, Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Mamun Ali et al.

Journal: HeliyonYear: 2024Citations: 10

Infectious fungi have been an increasing global concern in the present era. A promising approach to tackle this pressing concern involves utilizing Antifungal peptides (AFP) to develop an antifungal drug that can selectively eliminate fungal pathogens from a host with minimal toxicity to the host. A...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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A robust deep learning approach for identification of RNA 5-methyluridine sites

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Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Mamun Ali, Kawsar Ahmed et al.

Journal: Scientific ReportsYear: 2024Citations: 9

RNA 5-methyluridine (m5U) sites play a significant role in understanding RNA modifications, which influence numerous biological processes such as gene expression and cellular functioning. Consequently, the identification of m5U sites can play a vital role in the integrity, structure, and function of...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Effectiveness of intrapartum azithromycin to prevent infections in planned vaginal births in low-income and middle-income countries: a post-hoc analysis of data from a multicentre, randomised, double-blind, placebo-controlled trial

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Waldemar A. Carlo, Alan Tita, Janet Moore, Musaku Mwenechanya et al.

Journal: The Lancet Global HealthYear: 2025Citations: 8

BACKGROUND: In 2023, the Azithromycin Prevention in Labor Use (A-PLUS) trial showed intrapartum azithromycin reduces maternal sepsis or death in women with planned vaginal delivery in low-resource settings, but whether it reduces maternal infection is unknown. We aimed to evaluate the effectiveness ...

Health SciencesMedicineEpidemiologyOpen Access
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StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification

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Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali, Kawsar Ahmed et al.

Journal: IEEE Transactions on Artificial IntelligenceYear: 2024Citations: 8

Antimicrobial peptides (AMPs) play a vital role in the immune defence systems of various organisms and have garnered significant attention for their potential applications in biotechnology and medicine. There are several approaches to identifying AMPs including clinical isolation and characterizatio...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Functional annotation of an ecologically important protein from Chloroflexus aurantiacus involved in polyhydroxyalkanoates (PHA) biosynthetic pathway

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Atikur Rahman, Tasmina Ferdous Susmi, Farzana Yasmin, Md. Ekramul Karim et al.

Journal: SN Applied SciencesYear: 2020Citations: 7
Physical SciencesMaterials ScienceBiomaterialsOpen Access
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BitterEN: A novel ensemble model for the identification of bitter peptide

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Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali et al.

Journal: Computers in Biology and MedicineYear: 2025Citations: 5

Bitter peptides are short amino acid chains that produce a bitter taste. These peptides are made primarily in food processing through the chemical reduction of peptides. The bitterness arises from the specific sequence of amino acids in peptides, which interact with the bitter taste receptors on the...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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DHUpredET: A comparative computational approach for identification of dihydrouridine modification sites in RNA sequence

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Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Sayed Mehedi Azim et al.

Journal: Analytical BiochemistryYear: 2025Citations: 4

Laboratory-based detection of D sites is laborious and expensive. In this study, we developed effective machine learning models employing efficient feature encoding methods to identify D sites. Initially, we explored various state-of-the-art feature encoding approaches and 30 machine learning techni...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning Approach

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Md. Shazzad Hossain Shaon, Md. Fahim Sultan, Tasmin Karim, Md. Shoaib Hossain Alshan et al.

Year: 2024Citations: 1

Neuropeptides (NPs) are fragile proteins that serve as essential signaling molecules in the neurological system, playing a key role in modulating various physiological processes. Identifying particular neuropeptide sequences relevant to specific disorders would be beneficial for accelerating the dev...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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AMP-RNNpro: A two-stage approach for identification of antimicrobials using probabilistic features

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Md. Shazzad Hossain Shaon, Tasmin Karim, Md. Zahid Hasan, Ahmed A. Moustafa et al.

Journal: Research SquareYear: 2023Citations: 1

Abstract Background The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning arises from the need for efficiency, accuracy, and the ability to process and analyze large and complex datasets. These tools can complement experimental approaches, accelerate the disc...

Life SciencesImmunology and MicrobiologyMicrobiologyOpen Access
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Bimodal Gaussian PDF of the Dominant IMFs of EEG Signals for Seizure Activity Classification

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Tanima Tasmin Chowdhury, A.H.M. Zadidul Karim, Shaikh Anowarul Fattah, Celia Shahnaz

Year: 2017Citations: 1

In this paper, time-frequency domain operation exploiting Empirical Mode Decomposition (EMD) is performed on EEG signals to classify normal activity of healthy person, non-seizure (inter-ictal) and seizure (ictal) activity of seizure patients. Analyzing power spectral density estimation in the set o...

Life SciencesNeuroscienceCognitive Neuroscience
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Prevalence of SSIs, Investigate Associated Risk Factors and Comorbidities, and Assess the Impact of Antibiotics on Their Occurrence among Patients

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Mohammad Mahmudur Rahman‬, Talukder AGM Zakaria Nazimuddin Jubery, Md. Showkat Ali, Shahana Akter et al.

Journal: Scholars Journal of Applied Medical SciencesYear: 2026

Background: Surgical site infections (SSIs) are among the most common healthcare-associated infections worldwide, leading to increased morbidity, prolonged hospital stay, and higher healthcare costs. Despite advances in surgical care, SSIs remain a significant burden in low- and middle-income countr...

Health SciencesMedicineSurgeryOpen Access
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A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features

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Md. Zahid Hasan, Shahriar Shakil, Tasmin Karim, Md. Shazzad Hossain Shaon et al.

Journal: IEEE Transactions on Computational Biology and BioinformaticsYear: 2026

Viruses are a significant threat to human life, as demonstrated by the global COVID-19 pandemic and the Ebola outbreak. Diseases such as smallpox, AIDS, hepatitis, liver cancer, and cervical cancer often caused by the Human Papillomavirus can lead to fatal outcomes. Over the years, extensive researc...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Detection of Oral Cancer Using Image Processing and Transfer Learning

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Malyha Bintha Mabud, Rafa Tasmin, Mahadi Karim Munif, Anika Faiza et al.

Journal: Lecture notes in networks and systemsYear: 2025
Life SciencesNeuroscienceNeurology
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K-SNOpred: Identification of protein S-nitrosylation sites through word embedding features and machine learning

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Tasmin Karim, Md. Shazzad Hossain Shaon, Md. Mamun Ali, Sobhy M. Ibrahim et al.

Journal: Analytical BiochemistryYear: 2025

Protein S-nitrosylation (SNO) is a process involving the covalent modification of cysteine residues by nitric oxide (NO) and its derivatives. Numerous studies have demonstrated that SNO is significantly involved in cell function and pathophysiology. The identification of SNO sites is significant in ...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Re‐Striking the Indications in the Improvement of Avoidable Caesarian Section: A Cluster Randomized Control Trial

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Fatema Ashraf, Jobaida Sultana, MSA Mansur Ahmed, Khadija Mannan et al.

Journal: Health Science ReportsYear: 2025

ABSTRACT Background and Aims Cesarean section (CS) rates are on the rise globally, creating serious public health concern with their increased risk of morbidity and mortality for low‐risk pregnancies. The aim of this study is to identify whether re‐striking the indications of CS can reduce the rate ...

Health SciencesMedicineObstetrics and GynecologyOpen Access
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