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Focal Cortical Dysplasia Presented with Stroke

Md Main Uddin, Fazle Rabbi Mohammed, Fazle Rabbi Chowdhury, Abdur Rahim
2008 Journal of Medicine (Dhaka)  
MAIN UDDIN 1 , FAZLE RABBI MOHAMMED 2 , FAZLE RABBI CHOWDHURY 3 , ABDUR RAHIM 4 1. Indoor Medical Officer (Neurology), BIRDEM, Dhaka. 2.  ... 
doi:10.3329/jom.v8i2.1415 fatcat:xwlzj3xh7fellfaruoqb3goypa

Treatment of Kala-azar: Past, Present & Future

HAM Nazmul Ahasan, Fazle Rabbi Mohammed, Fazle Rabbi Chowdhury, Md Billal Alam
2008 Journal of Medicine (Dhaka)  
doi:10.3329/jom.v9i2.1438 fatcat:buorb4nvmvfphh26c6jg5b4pve

Hyperparameter Analysis for Derivative Compressive Sampling [article]

Md Fazle Rabbi
2021 arXiv   pre-print
Derivative compressive sampling (DCS) is a signal reconstruction method from measurements of the spatial gradient with sub-Nyquist sampling rate. Applications of DCS include optical image reconstruction, photometric stereo, and shape-from-shading. In this work, we study the sensitivity of DCS with respect to algorithmic hyperparameters using a brute-force search algorithm. We perform experiments on a dataset of surface images and deduce guidelines for the user to setup values for the hyperparameters for improved signal recovery performance.
arXiv:2108.04355v1 fatcat:5f56uxjcarcevc52itdgqdoymy

Microbiological Quality Assessment of Foods collected from Different Hospitals within Dhaka City

Fazle Alam Rabbi, Fazle Rabbi, TA Runun, Khadiza Zaman, M Majibur Rahman, Rashed Noor
2011 Stamford Journal of Microbiology  
Various types of cooked food samples were collected from six different hospitals within the city of Dhaka and they were analyzed for the presence (if any) of total aerobic count (TAC), total coliform count (TCC) and total staphylococcal count (TSA) in order to determine the levels of contamination and to relate these findings to the hygiene practice of the food handlers. According to Gulf standard for microbiological criteria for foodstuff, all of the food samples exceeded the acceptable total
more » ... erobic count limit of 5 x 10 5 cfu/g while 4 out of 6 samples exceeded coliform count limit of 1x10 2 cfu/g. The total coliform counts were found to be the highest in the fish (1.6 x 10 7 cfu/g) and egg (2.2 x 10 6 cfu/g) curry samples of hospital 1 and hospital 4, respectively and were the lowest in the fish curry (2 x10 3 cfu/g) of hospital 4. Staphylococcus aureus was found in all of the food samples with the highest occurrence (too numerous to count) in Dal and Rice samples from hospitals 3 and 6, respectively. On Xylose Lysine Deoxycholate (XLD) agar, no black centered colony but many colorless colonies were found which primarily indicated the absence of Salmonella spp. in those samples. In order to identify pathogenic microorganisms from food samples, a series of conventional biochemical tests were performed with 23 randomly selected isolates from MacConkey, XLD, MSA agar plates. The isolates were presumptively identified as Escherichia coli, Staphylococcus aureus, Shigella spp. and Pseudomonas spp. etc. The antibiotic susceptibility test was performed with eleven selected isolates using six commonly prescribed antibiotics (ampicillin, tetracyclines, ciprofloxacin, vancomycin, gentamicin and azithromycin). The results showed that six isolates were resistant to vancomycin, two isolates were multidrug resistant and one isolate was intermediately resistant to azithromycin. All the isolates were found to be sensitive to ciprofloxacin, and gentamicin. Based on the data, it can be suggested that adequate hygiene practices are required after cooking the foods and before serving them as they reconsider.
doi:10.3329/sjm.v1i1.9100 fatcat:q7vtkfak6bdlfmnvgxykdoc4me

Prevalence of Modifiable Risk Factors among Stroke Patients in a Tertiary Care Hospital in Dhaka

Md Badiuzzaman, Fazle Rabbi Mohammed, Fazle Rabbi Chowdhury, Md Shafiqul Bari, Md Billal Alam, HAM Nazmul Ahasan
2009 Journal of Medicine (Dhaka)  
doi:10.3329/jom.v10i3.2011 fatcat:flagqczphrfpng23n7fbf4r74i

Non-Hodgkin's Lymphoma in Colon

Monzorul Hasan Chowdhury, Fasle Rabbi Chowdhury, Fazle Rabbi Mohammed, Md Ziaus Shams, Md Billal Alam
2008 Journal of Medicine (Dhaka)  
doi:10.3329/jom.v8i2.1413 fatcat:jz4ejg4ey5bkdd7lfkzzzxnfte

SensPick: Sense Picking for Word Sense Disambiguation [article]

Sm Zobaed, Md Enamul Haque, Md Fazle Rabby, Mohsen Amini Salehi
2021 arXiv   pre-print
Word sense disambiguation (WSD) methods identify the most suitable meaning of a word with respect to the usage of that word in a specific context. Neural network-based WSD approaches rely on a sense-annotated corpus since they do not utilize lexical resources. In this study, we utilize both context and related gloss information of a target word to model the semantic relationship between the word and the set of glosses. We propose SensPick, a type of stacked bidirectional Long Short Term Memory
more » ... LSTM) network to perform the WSD task. The experimental evaluation demonstrates that SensPick outperforms traditional and state-of-the-art models on most of the benchmark datasets with a relative improvement of 3.5% in F-1 score. While the improvement is not significant, incorporating semantic relationships brings SensPick in the leading position compared to others.
arXiv:2102.05260v1 fatcat:bevoeusodvadvdjwnwm3dtw56i

Food Security and Transition towards Sustainability

Mohammad Fazle Rabbi, Morshadul Hasan, Sándor Kovács
2021 Sustainability  
In the light of linkages in various scales and targets, the complex and nuanced design of the sustainable development goals (SDG) raises more challenges in their implementation on the ground. This paper reviewed 25 food security indicators, proposed improvements to facilitate operationalization, and illustrated practical implementation. The research focused on three essential blind spots that arise from the potential interactions between sustainable food production, consumption, and domestic
more » ... erial consumption (DMC). Projection of latent structure regression was applied to link food security and sustainable development goals. Findings revealed that the key target in reducing trade-offs was the integration of DMC with sustainable food production and consumption. DMC was positively correlated with the creation of coherent SDG strategies and sustainable food security. Practical implications were discussed by highlighting how to achieve food security across contrasting development contexts and the challenges of addressing the links between targets and indicators within and beyond SDGs 2 and 12. The results are useful for setting a proper strategy for sustainable production and consumption that can improve the efficient use of resources in the eight Central European countries.
doi:10.3390/su132212433 fatcat:s3drplrpgngnfkljrtowk3geta

Model Driven Workflow Development with T □ [chapter]

Fazle Rabbi, Wendy MacCaull
2012 Lecture Notes in Business Information Processing  
Model Driven Engineering (MDE) refers to the systematic use of models as primary engineering artifacts throughout the engineering lifecycle. MDE has a lot of potential to make adaptive software systems, but it requires maturity and tool support. Here we present a domain specific language, called T (pronounced as T-Square) for writing workflow process specifications which allows us to write procedural statements for tasks and branch conditions, to query an ontology and to declare user
more » ... We apply transformation methods to generate executable software from the abstract process specifications.
doi:10.1007/978-3-642-31069-0_23 fatcat:7fuat6dk2raazkpyvr6nfyjosq

Machine learning-enabled multiplexed microfluidic sensors

Sajjad Rahmani Dabbagh, Fazle Rabbi, Zafer Doğan, Ali Kemal Yetisen, Savas Tasoglu
2020 Biomicrofluidics  
High-throughput, cost-effective, and portable devices can enhance the performance of point-of-care tests. Such devices are able to acquire images from samples at a high rate in combination with microfluidic chips in point-of-care applications. However, interpreting and analyzing the large amount of acquired data is not only a labor-intensive and time-consuming process, but also prone to the bias of the user and low accuracy. Integrating machine learning (ML) with the image acquisition
more » ... of smartphones as well as increasing computing power could address the need for high-throughput, accurate, and automatized detection, data processing, and quantification of results. Here, ML-supported diagnostic technologies are presented. These technologies include quantification of colorimetric tests, classification of biological samples (cells and sperms), soft sensors, assay type detection, and recognition of the fluid properties. Challenges regarding the implementation of ML methods, including the required number of data points, image acquisition prerequisites, and execution of data-limited experiments are also discussed.
doi:10.1063/5.0025462 pmid:33343782 pmcid:PMC7733540 fatcat:i6b7zqfyobbyxgctxb6tlr5k54

Deep Learning-Enabled Technologies for Bioimage Analysis

Fazle Rabbi, Sajjad Rahmani Dabbagh, Pelin Angin, Ali Kemal Yetisen, Savas Tasoglu
2022 Micromachines  
Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated its potency to significantly improve the quantification and classification workflows in biomedical and clinical applications. Among the end applications profoundly benefitting from DL, cellular morphology quantification is one of the pioneers. Here, we first briefly explain fundamental concepts in DL and then we review some of the emerging DL-enabled applications in cell morphology quantification in the
more » ... elds of embryology, point-of-care ovulation testing, as a predictive tool for fetal heart pregnancy, cancer diagnostics via classification of cancer histology images, autosomal polycystic kidney disease, and chronic kidney diseases.
doi:10.3390/mi13020260 pmid:35208385 pmcid:PMC8880650 fatcat:xbem7lix4nhm7cbaauye46lnye

Artificial Ripening: What We are Eating

Ashraf Ur-Rahman, Fazle Rabbi Chowdhury, Md Billal Alam
2008 Journal of Medicine (Dhaka)  
RABBI CHOWDHURY 2 , MD.  ...  Citrus Australia, Philippines, South Africa Tomatoes Australia, Morocco, Philippines, U.S.A Plums South Africa Peaches South Africa ARTIFICIAL RIPENING: WHAT WE ARE EATING ASHRAF-UR-RAHMAN 1 , FAZLE  ... 
doi:10.3329/jom.v9i1.1425 fatcat:z265kbzuvzhgxlhoi7ugwtjooa

Mortality and life expectancy forecast for (comparatively) high mortality countries

Ahbab Mohammad Fazle Rabbi, Stefano Mazzuco
2018 Genus  
The Lee-Carter method and its later variants are widely accepted extrapolative methods for forecasting mortality and life expectancy in industrial countries due to their simplicity and availability of high quality long time series data. We compared and contrasted mortality forecasting models for higher mortality regimes that lack long time series data of good quality, which is common in several Central and Eastern European (CEE) countries. We utilized seven different variants of the Lee-Carter
more » ... ethod and coherent mortality forecasts of various CEE countries, and the Bayesian Hierarchical Model used by the United Nations to produce probabilistic forecasts. The data of nine CEE countries with comparatively higher mortality have been considered. The performance of the forecasting models for the nine CEE countries was found to be lower than that observed for low-mortality countries. No model gives uniquely best performance for all the nine CEE countries. Most of the LC variants produced lower forecasts of life expectancies than current life expectancy values for Belarus, Russia, and Ukraine. A coherent mortality forecast could not overcome the limitations of single population forecasting techniques due to increasing mortality differences between these countries over the fitting period (mortality divergence). In the same context, the use of the probabilistic forecasting technique from the Bayesian framework resulted in a better forecast than some of the extrapolative methods but also produced a wider prediction interval for several countries. The more detailed analysis for Hungary indicates that a better fit of certain forecasting methods may occur in the later part of the life span rather than the whole life span. These findings imply the necessity of inventing a new forecasting technique for high-mortality countries.
doi:10.1186/s41118-018-0042-x pmid:30464357 pmcid:PMC6223892 fatcat:gfbxcl37f5gllfjoq2fnmdtzzq

A new application for PLC in smart factory by wireless technology

Islam Mohammad Saiful, MD Fazle Rabbi, Prof. Zhang Jiabo
2020 Zenodo  
Technical advancement in the industry has changed the lives of people directly in last few decades. Industrial revolution has contributed significantly to this change. Whether it is the matter of mass production, safety, or other social aspects like social economy and jobs for humans, it has affected everyday life. People are again expecting major changes in the industrial automation. The new generation of revolution that is supposed to start in next few years (tentatively 2020) has given the
more » ... me Industry 4.0. Researchers and engineers are constantly. Focusing to make the smart devices and systems to support this concept. This industrial era is expected to embrace cyber-physical systems containing smart devices as its components and with the industrial internet of things (IIOT). This documents talks about an attempt to automate a simple paper rolling machine using Siemen's S7-1200 processor and the HMI developed. The second section is about using the new platform to develop dynamic HMI that can assist to implement the concept of Industry 4.0. Literature review discusses about some of the transactions papers and other papers in renowned journals which talks about the concept, design principles, and aspects of the next generation of industrial revolution. Towards the end, the document has the results of the projects, some discussions, conclusions, and then some recommendations for future development of the project.
doi:10.5281/zenodo.3706397 fatcat:fq6ziab3kbg5fask7tl65h6ihu

Unethical and Unauthorized Medical Practice- An Alarming Situation

Fazle Rabbi Chowdhury, Md Billal Alam
2008 Journal of Medicine (Dhaka)  
Fazle Rabbi Chowdhury 1 , Md. Billal Alam 2 1 Post Graduate Trainee, Department of Medicine, Dhaka Medical College, 2 Associate Professor of Medicine, Dhaka Medical College.  ... 
doi:10.3329/jom.v8i1.1369 fatcat:veg74zlcubexbbufzwded7qssq
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