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Article ; Online: An unsupervised cluster-based feature grouping model for early diabetes detection

Md. Mehedi Hassan / Swarnali Mollick / Farhana Yasmin

Healthcare Analytics, Vol 2, Iss , Pp 100112- (2022)

2022

Abstract: Diabetes mellitus is often a hyperglycemic condition that poses a substantial threat to human health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of labeled data and the presence of oddities in diabetes datasets, it is ...

Abstract	Diabetes mellitus is often a hyperglycemic condition that poses a substantial threat to human health. Early diabetes detection decreases morbidity and mortality. Due to the scarcity of labeled data and the presence of oddities in diabetes datasets, it is exceedingly difficult to develop a trustworthy and accurate diabetes prognosis. The dataset and groupings of the features using the elbow and silhouette methods have been clustered using K-means. Various machine learning approaches have also been applied to the cluster-based dataset to predict diabetes. We propose an unsupervised cluster-based feature grouping model for early diabetes identification using an open-source dataset containing the data of 520 diabetic patients. On the cluster-based dataset and the complete dataset, the maximum Accuracy (ACC) is 99.57% and 99.03%, respectively. The best Precision, Recall, minimum mean squared error (MSE), maximum mean squared error (MSE), and F1-Score of 1.000 are obtained from multi-layer perceptron (MLP), random forest (RF), and k-Nearest Neighbors (KNN), 0.984 from random forest (RF) and support vector machine (SVM), 0.010 from RF, 0.067 from KNN, and 99.20% from RF, respectively. A comparison table displays the anticipated outcomes and highlights the aspects of this research that are most likely to occur as intended. The preprocessed data and codes are available on the GitHub repository to https://github.com/mhashiq/Early-stage-diabetes-risk-prediction.
Keywords	Supervised learning ; Predictive analytics ; Feature ranking ; Elbow method ; Silhouette method ; Diabetics prediction ; Computer applications to medicine. Medical informatics ; R858-859.7
Subject code	006 ; 310
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: An account of Natural material based Non Volatile Memory Device

Rahman, Farhana Yasmin / Bhattacharjee, Debajyoti / Hussain, Syed Arshad

2023

Abstract: The development in electronic sector has brought a remarkable change in the life style of mankind. At the same time this technological advancement results adverse effect on environment due to the use of toxic and non degradable materials in various ... ...

Abstract	The development in electronic sector has brought a remarkable change in the life style of mankind. At the same time this technological advancement results adverse effect on environment due to the use of toxic and non degradable materials in various electronic devices. With the emergence of environmental problems, the green, reprogrammable, biodegradable, sustainable and environmental-friendly electronic devices have become one of the best solutions for protecting our environment from hazardous materials without compromising the growth of the electronic industry. Natural material has emerged as the promising candidate for the next generation electronic devices due to its easy processing, transparency, flexibility, abundant resources, sustainability, recyclability, and simple extraction. This review targets the characteristics, advancements, role, limitations, and prospects of using natural materials as the functional layer of a resistive switching memory device with a primary focus on the switching/memory properties. Among the available memory devices, resistive random access memory (RRAM), write once read many (WORM) unipolar memory etc. devices have a huge potential to become the non-volatile memory of the next generation owing to their simple structure, high scalability, and low power consumption. The motivation behind this work is to promote the use of natural materials in electronic devices and attract researchers towards a green solution of hazardous problems associated with the electronic devices. Comment: 32 pages, 8 figures, 2 tables
Keywords	Condensed Matter - Materials Science ; Physics - Applied Physics
Subject code	621
Publishing date	2023-06-17
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effect of long chain fatty acids on the memory switching behavior of tetraindolyl derivatives.

Sarkar, Surajit / Banik, Hritinava / Rahman, Farhana Yasmin / Majumdar, Swapan / Bhattacharjee, Debajyoti / Hussain, Syed Arshad

RSC advances

2023 Volume 13, Issue 38, Page(s) 26330–26343

Abstract: Non-volatile memory devices using organic materials have attracted much attention due to their excellent scalability, fast switching speed, low power consumption, low ... ...

Abstract	Non-volatile memory devices using organic materials have attracted much attention due to their excellent scalability, fast switching speed, low power consumption, low cost
Language	English
Publishing date	2023-09-04
Publishing country	England
Document type	Journal Article
ISSN	2046-2069
ISSN (online)	2046-2069
DOI	10.1039/d3ra03869f
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: AQIPred

Farhana Yasmin / Md. Mehedi Hassan / Mahade Hasan / Sadika Zaman / Jarif Huda Angon / Anupam Kumar Bairagi / Yang Changchun

Human-Centric Intelligent Systems, Vol 3, Iss 3, Pp 275-

A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis

2023 Volume 295

Abstract: Abstract The discipline of forecasting and prediction is witnessing a surge in the application of these techniques as a direct result of the strong empirical performance that approaches based on machine learning (ML) have shown over the past few years. ... ...

Abstract	Abstract The discipline of forecasting and prediction is witnessing a surge in the application of these techniques as a direct result of the strong empirical performance that approaches based on machine learning (ML) have shown over the past few years. Especially to predict wind direction, air and water quality, and flooding. In the context of doing this research, an MLP-LSTM Hybrid Model was developed to be able to generate predictions of this nature. An investigation into the Beijing Multi-Site Air-Quality Data Set was carried out in the context of an experiment. In this particular scenario, the model generated MSE values that came in at 0.00016, MAE values that came in at 0.00746, RMSE values that came in at 13.45, MAPE values that came in at 0.42, and R 2 values that came in at 0.95. This is an indication that the model is functioning effectively. The conventional modeling techniques for forecasting, do not give the level of performance that is required. On the other hand, the results of this study will be useful for any type of time-specific forecasting prediction that requires a high level of accuracy.
Keywords	Modeling ; Prediction ; Time series forecasting ; Neural network ; Information technology ; T58.5-58.64 ; Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Springer Nature
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Complementary Resistive Switching Behavior in Tetraindolyl Derivative-Based Memory Devices

Sarkar, Surajit / Rahman, Farhana Yasmin / Banik, Hritinava / Majumdar, Swapan / Bhattacharjee, Debajyoti / Hussain, Syed Arshad

Langmuir. 2022 July 21, v. 38, no. 30

2022

Abstract: Complementary resistive switching (CRS) devices are more advantageous compared to bipolar resistive switching (BRS) devices for memory applications as they can minimize the sneak path problem observed in the case of BRS having a crossbar array structure. ...

Abstract	Complementary resistive switching (CRS) devices are more advantageous compared to bipolar resistive switching (BRS) devices for memory applications as they can minimize the sneak path problem observed in the case of BRS having a crossbar array structure. Here, we report the CRS behavior of 1,4-bis(di(1H-indol-3-yl)methyl)benzene (Indole1) molecules. Our earlier study revealed that Au/Indole1/Indium tin oxide (ITO) devices showed BRS under ambient conditions. However, the present investigations revealed that when the device is exposed to 353 K or higher temperatures, dynamic evolution of the Au/Indole1/ITO device from BRS to CRS occurred with a very good memory window (∼10³), data retention (5.1 × 10³ s), stability (50 days), and device yield (∼ 60%). This work explores the application possibility of indole derivatives toward future ultradense resistive random access memory.
Keywords	computer hardware ; indoles ; memory ; tin dioxide
Language	English
Dates of publication	2022-0721
Size	p. 9229-9238.
Publishing place	American Chemical Society
Document type	Article
ZDB-ID	2005937-1
ISSN	1520-5827 ; 0743-7463
ISSN (online)	1520-5827
ISSN	0743-7463
DOI	10.1021/acs.langmuir.2c01011
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Effect of Process Parameters on the Initial Burst Release of Protein-Loaded Alginate Nanospheres

Farhana Yasmin / Xiongbiao Chen / B. Frank Eames

Journal of Functional Biomaterials, Vol 10, Iss 3, p

2019 Volume 42

Abstract: The controlled release or delivery of proteins encapsulated in micro/nanospheres is an emerging strategy in regenerative medicine. For this, micro/nanospheres made from alginate have drawn considerable attention for the use as a protein delivery device ... ...

Abstract	The controlled release or delivery of proteins encapsulated in micro/nanospheres is an emerging strategy in regenerative medicine. For this, micro/nanospheres made from alginate have drawn considerable attention for the use as a protein delivery device because of their mild fabrication process, inert nature, non-toxicity and biocompatibility. Though promising, one key issue associated with using alginate micro/nanospheres is the burst release of encapsulated protein at the beginning of the release, which may be responsible for exerting toxic side effects and poor efficiency of the delivery device. To address this issue, this study aimed to investigate the effect of process parameters of fabricating protein-loaded alginate nanospheres on the initial burst release. The alginate nanospheres were prepared via a combination of water-in-oil emulsification and the external gelation method and loaded with bovine serum albumin (BSA) as a model protein. The examined process parameters included alginate concentration, ionic cross-linking time and drying time. Once fabricated, the nanospheres were then subjected to the examination of BSA release, as well as the characterization of their morphology, size, and encapsulation efficiency. Our results revealed that by properly adjusting the process parameters, the initial burst release can be reduced by 13%. Taken together, our study demonstrates that regulating process parameters of fabricating alginate nanospheres is a possible means to reduce the initial burst release.
Keywords	alginate micro/nanospheres ; controlled delivery ; protein ; initial burst release ; protein delivery device ; alginate concentration ; cross-linking time ; drying time ; size of nanospheres ; Biotechnology ; TP248.13-248.65 ; Medicine (General) ; R5-920
Subject code	500
Language	English
Publishing date	2019-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Complementary Resistive Switching Behavior in Tetraindolyl Derivative-Based Memory Devices.

Sarkar, Surajit / Rahman, Farhana Yasmin / Banik, Hritinava / Majumdar, Swapan / Bhattacharjee, Debajyoti / Hussain, Syed Arshad

Langmuir : the ACS journal of surfaces and colloids

2022 Volume 38, Issue 30, Page(s) 9229–9238

Abstract	Complementary resistive switching (CRS) devices are more advantageous compared to bipolar resistive switching (BRS) devices for memory applications as they can minimize the sneak path problem observed in the case of BRS having a crossbar array structure. Here, we report the CRS behavior of 1,4-bis(di(1
Language	English
Publishing date	2022-07-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	2005937-1
ISSN	1520-5827 ; 0743-7463
ISSN (online)	1520-5827
ISSN	0743-7463
DOI	10.1021/acs.langmuir.2c01011
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Article: Management of severe hypernatremic dehydration and acute kidney injury in children in a critical care nephrology and dialysis unit.

Shireen, Afroz / Tahmina, Ferdaus / Farhana, Yasmin / Umme, Tanjila / Sukriti, Baroi / Hossain, Md Kawser

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia

2022 Volume 32, Issue 5, Page(s) 1431–1440

Abstract: Our study aimed to manage the children presented with severe hypernatremic dehydration and acute kidney injury (AKI) an updated fluid management protocol was used to find out the rate of decline of serum sodium per day and their outcome. This is a ... ...

Abstract	Our study aimed to manage the children presented with severe hypernatremic dehydration and acute kidney injury (AKI) an updated fluid management protocol was used to find out the rate of decline of serum sodium per day and their outcome. This is a prospective interventional study was conducted from November 2015 up to October 2016 in the Critical Care Nephrology and Dialysis Unit of Dhaka Shishu (Children) Hospital, Bangladesh. A total of 45 children with hypernatremia and AKI were evaluated. Patients were treated by the calculated amount of dextrose in normal saline mixed with various dilutions of 3% NaCl with a difference of serum to infusate sodium concentration around 10 mEq/L as per the American Academy of Pediatrics - 2005. Intermittent peritoneal dialysis was done when in the failure stage of AKI or when serum sodium (Na
MeSH term(s)	Acute Kidney Injury/diagnosis ; Acute Kidney Injury/etiology ; Acute Kidney Injury/therapy ; Bangladesh ; Child ; Critical Care ; Dehydration/diagnosis ; Dehydration/etiology ; Dehydration/therapy ; Female ; Glucose ; Humans ; Hypernatremia/diagnosis ; Hypernatremia/etiology ; Hypernatremia/therapy ; Infant ; Male ; Nephrology ; Prospective Studies ; Renal Dialysis/adverse effects ; Saline Solution ; Sodium ; Sodium Chloride
Chemical Substances	Saline Solution ; Sodium Chloride (451W47IQ8X) ; Sodium (9NEZ333N27) ; Glucose (IY9XDZ35W2)
Language	English
Publishing date	2022-05-09
Publishing country	Saudi Arabia
Document type	Journal Article
ZDB-ID	1379955-1
ISSN	1319-2442
ISSN	1319-2442
DOI	10.4103/1319-2442.344764
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Article ; Online: Potential benefits of gallic acid as skeletal muscle relaxant in animal experimental models

Syed Mohammed Basheeruddin Asdaq / Abdulhakeem S. Alamri / Walaa F. Alsanie / Majid Alhomrani / Farhana Yasmin

Saudi Journal of Biological Sciences, Vol 28, Iss 12, Pp 7575-

2021 Volume 7580

Abstract: Background and Objective: Many natural bioactive chemicals have been shown to have functional activity, suggesting that they could be useful in the treatment and management of a wide range of chronic conditions. Flavonoids, which include gallic acid (GA), ...

Abstract	Background and Objective: Many natural bioactive chemicals have been shown to have functional activity, suggesting that they could be useful in the treatment and management of a wide range of chronic conditions. Flavonoids, which include gallic acid (GA), are the most abundant polyphenols found in nature. Skeletal muscle relaxants are drugs that reduce undesired spasms while maintaining awareness and reflexes unaffected. The purpose of this investigation was to determine if GA has any skeletal muscle relaxant properties in experimental animal models. Materials and Methods: The muscle relaxant activity of three dosages of GA (5, 10, and 20 mg/kg) was compared to that of normal diazepam (5 mg/kg) utilizing climbing, chimney, and modified Kondziela's inverted tests. An analysis of variance (ANOVA) and a post-ANOVA Tukey multiple comparisons test were used to assess the data. Results: Animals given 10 and 20 mg/kg of GA had a great deal of trouble climbing up the chain, presumably because their muscles were relaxed. Similarly, rats given a high dose of GA (20 mg/kg) had a significantly (P < 0.05) longer response time in the chimney test, indicating a lack of attention and slowed muscle tone, resulting in problems with motor coordination. In inverted testing, animals given a high dose of GA had a significantly (P < 0.01) reduced holding capacity on the mesh for a longer period of time. A decrease in holding time is caused by a decrease in muscular contraction. The low dose of GA, on the other hand, failed to show muscle relaxant effect in any of the three models. Conclusions: As a conclusion, our data show that GA has a dose-dependent skeletal muscle relaxant effect when administered orally to mice.
Keywords	GA ; Skeletal muscle relaxant ; Climbing test ; Chimney test ; Inverted test ; Diazepam ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Epitope-based universal vaccine for Human T-lymphotropic virus-1 (HTLV-1).

Md Thosif Raza / Shagufta Mizan / Farhana Yasmin / Al-Shahriar Akash / Shah Md Shahik

PLoS ONE, Vol 16, Iss 4, p e

2021 Volume 0248001

Abstract: Human T-cell leukemia virus type 1 (HTLV-1) was the first oncogenic human retrovirus identified in humans which infects at least 10-15 million people worldwide. Large HTLV-1 endemic areas exist in Southern Japan, the Caribbean, Central and South America, ...

Abstract	Human T-cell leukemia virus type 1 (HTLV-1) was the first oncogenic human retrovirus identified in humans which infects at least 10-15 million people worldwide. Large HTLV-1 endemic areas exist in Southern Japan, the Caribbean, Central and South America, the Middle East, Melanesia, and equatorial regions of Africa. HTLV-1 TAX viral protein is thought to play a critical role in HTLV-1 associated diseases. We have used numerous bio-informatics and immuno-informatics implements comprising sequence and construction tools for the construction of a 3D model and epitope prediction for HTLV-1 Tax viral protein. The conformational linear B-cell and T-cell epitopes for HTLV-1 TAX viral protein have been predicted for their possible collective use as vaccine candidates. Based on in silico investigation two B cell epitopes, KEADDNDHEPQISPGGLEPPSEKHFR and DGTPMISGPCPKDGQPS spanning from 324-349 and 252-268 respectively; and T cell epitopes, LLFGYPVYV, ITWPLLPHV and GLLPFHSTL ranging from 11-19, 163-171 and 233-241 were found most antigenic and immunogenic epitopes. Among different vaccine constructs generated by different combinations of these epitopes our predicted vaccine construct was found to be most antigenic with a score of 0.57. T cell epitopes interacted strongly with HLA-A*0201 suggesting a significant immune response evoked by these epitopes. Molecular docking study also showed a high binding affinity of the vaccine construct for TLR4. The study was carried out to predict antigenic determinants of the Tax protein along with the 3D protein modeling. The study revealed a potential multi epitope vaccine that can raise the desired immune response against HTLV-1 and be useful in developing effective vaccines against Human T-lymphotropic virus.
Keywords	Medicine ; R ; Science ; Q
Subject code	570
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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