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Article ; Online: Dataset of road surface images with seasons for machine learning applications.

Bhutad, Sonali / Patil, Kailas

2022 Volume 42, Page(s) 108023

Abstract: Road surface monitoring plays a vital role in ensuring safety and comfort for the various road users, from pedestrians to drivers. Furthermore, this information is useful for the maintenance of the roads. The road condition deteriorates due to volatile ... ...

Abstract	Road surface monitoring plays a vital role in ensuring safety and comfort for the various road users, from pedestrians to drivers. Furthermore, this information is useful for the maintenance of the roads. The road condition deteriorates due to volatile weather. Thus the main objective of the proposed paper is to create an image dataset of the road surface for two seasons, i.e. summer and rainy. Accordingly, we created road surface images for different roads such as paved and unpaved roads. These folders consist of two subfolders for Rainy and Summer potholes. The dataset consists of 8484 images and 10 videos. This dataset is highly useful for machine learning experts working in the field of automatic vehicle controlling and road surface monitoring.
Language	English
Publishing date	2022-03-08
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2786545-9
ISSN	2352-3409 ; 2352-3409
ISSN (online)	2352-3409
ISSN	2352-3409
DOI	10.1016/j.dib.2022.108023
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Dataset of Stagnant Water and Wet Surface Label Images for Detection

Sonali Bhutad / Kailas Patil

Data in Brief, Vol 40, Iss , Pp 107752- (2022)

2022

Abstract: Clean water is one of the essential things in life. The running water in natural forms is considered as clean water. To avoid exposure to countless diseases, it is imperative to separate stagnant water from clean water. Thus the main objective of the ... ...

Abstract	Clean water is one of the essential things in life. The running water in natural forms is considered as clean water. To avoid exposure to countless diseases, it is imperative to separate stagnant water from clean water. Thus the main objective of the proposed paper is to create an image dataset of stagnant water and wet surface to detect stagnant water. Accordingly, we considered stagnant water images in different forms and sizes to construct the dataset. In addition to that, brown and black earth surface is considered for the wet surface detection. The dataset consists of 1976 labeled images captured from various angles with annotated files. The dataset images are labelled for two classes, namely water and wet surface. This dataset is highly useful for deep learning experts working in the field of disease control management and post-rainfall earth surface monitoring.
Keywords	Stagnant Water ; Wet Surface ; Water Sanitation ; Potential Mosquito Breeding Site Detection ; object detection ; Computer Vision ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
Subject code	333
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Drug Discovery to Drug Development of BACE1 Inhibitor as Antialzheimer's: A Review.

Munj, Sonali Mehendale / Patil, Pooja Bhagwan

Current topics in medicinal chemistry

2022 Volume 23, Issue 2, Page(s) 77–97

Abstract: Alzheimer's Disease (AD) is a complex and progressive neurodegenerative disease, and the most common cause of dementia usually occurs due to old age. Production and accumulation of amyloid-β peptide (Aβ) represent the major pathological event of the ... ...

Abstract	Alzheimer's Disease (AD) is a complex and progressive neurodegenerative disease, and the most common cause of dementia usually occurs due to old age. Production and accumulation of amyloid-β peptide (Aβ) represent the major pathological event of the disease. The formation of amyloid- β results due to proteolytic cleavage of amyloid precursor protein (APP) by beta-site amyloid precursor protein cleaving enzyme (BACE1) shown as the amyloid hypothesis, a prevalent theory for AD pathogenesis. Thus, BACE1 represents a novel target to decrease cerebral Aβ concentration and slow down the disease's progression. The structure-based drug design approach led to a wide variety of small molecules with the mechanism of action centered around inhibition of β-secretase protease (BACE1), which are shown to have drug-like properties and reduce brain Aβ levels. Based on transition state isosteres, BACE1 inhibitors can largely be classified as peptidomimetics and non-peptidomimetics. The subclasses of the two categories have been covered with different scaffolds like statin, norstatin, carbinamine, hydroxyethylene, hydroxyethylamine, acyl guanidine, 2- aminopyridine, aminoimidazole, aminohydantoin, aminothiazoline, aminooxazoline, aminoquinoline, piperazine-based. Among these small molecules, those who fulfilled general requirements for a drug aimed at the central nervous system (CNS) and selectivity over other aspartyl proteases reached the final pipeline of clinical trials. Here, in this review, we summarize the journey of BACE1 inhibitors through different practices of drug design development, Structural Activity Relationship (SAR), and other inhibitor candidates that are currently in clinical trials as BACE1 inhibitors.
MeSH term(s)	Humans ; Amyloid Precursor Protein Secretases/metabolism ; Aspartic Acid Endopeptidases ; Amyloid beta-Protein Precursor/metabolism ; Neurodegenerative Diseases ; Alzheimer Disease/metabolism ; Amyloid beta-Peptides/metabolism ; Drug Design
Chemical Substances	Amyloid Precursor Protein Secretases (EC 3.4.-) ; Aspartic Acid Endopeptidases (EC 3.4.23.-) ; Amyloid beta-Protein Precursor ; Amyloid beta-Peptides ; BACE1 protein, human (EC 3.4.23.46)
Language	English
Publishing date	2022-12-28
Publishing country	United Arab Emirates
Document type	Review ; Journal Article
ZDB-ID	2064823-6
ISSN	1873-4294 ; 1568-0266
ISSN (online)	1873-4294
ISSN	1568-0266
DOI	10.2174/1568026623666221228140450
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Article ; Online: Optical detection of total cholesterol based on a dye-displacement method.

Patil, Vikas / Hardikar, Hrishikesh / Joshi, Sonali / Tembe, Sanket

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

2023 Volume 293, Page(s) 122425

Abstract: In the present study, the dye methylene blue (MB) was entrapped in an agarose gel and used as a sensing probe for the detection of total cholesterol. When methylene blue-entrapped agarose cubes were added to the cholesterol solution, methylene blue was ... ...

Abstract	In the present study, the dye methylene blue (MB) was entrapped in an agarose gel and used as a sensing probe for the detection of total cholesterol. When methylene blue-entrapped agarose cubes were added to the cholesterol solution, methylene blue was displaced by cholesterol and released into the solution. A calibration curve was prepared by plotting the rate of release of methylene blue at 664 nm against varying cholesterol concentrations. A linear response was observed in the concentration range of 1 to 5 mM (40 mg/dL to 200 mg/dL) which covers normal and elevated cholesterol levels in humans. Optical detection of cholesterol using this dye-replacement method is simple, economical, and non-toxic. Characterisation of the system was carried out by FT-IR spectroscopy and cyclic voltammetry. The optical method was validated to determine total cholesterol in serum samples with reasonable accuracy.
MeSH term(s)	Humans ; Methylene Blue/chemistry ; Spectroscopy, Fourier Transform Infrared ; Sepharose ; Cholesterol/chemistry ; Water Pollutants, Chemical/analysis
Chemical Substances	Methylene Blue (T42P99266K) ; Sepharose (9012-36-6) ; Cholesterol (97C5T2UQ7J) ; Water Pollutants, Chemical
Language	English
Publishing date	2023-02-01
Publishing country	England
Document type	Journal Article
ZDB-ID	210413-1
ISSN	1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
ISSN (online)	1873-3557
ISSN	0370-8322 ; 0584-8539 ; 1386-1425
DOI	10.1016/j.saa.2023.122425
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Article ; Online: Variable neutralizing antibody responses to 10 SARS-CoV-2 variants in natural infection with wild- type (B.1) virus, Kappa (B.1.617.1), and Delta (B.1.617.2) variants and COVISHIELD vaccine immunization in India: utility of the MSD platform.

Patil, Rajashree / Palkar, Sonali / Mishra, Akhileshchandra / Patil, Rahul / Arankalle, Vidya

Frontiers in immunology

2023 Volume 14, Page(s) 1181991

Abstract: For the efficacy of COVID-19 vaccines, emergence of variants accumulating immune-escape mutations remains a major concern. We analyzed the anti-variant (n = 10) neutralization activity of sera from COVID-19 patients infected with Wuhan (B.1), Kappa, and ... ...

Abstract	For the efficacy of COVID-19 vaccines, emergence of variants accumulating immune-escape mutations remains a major concern. We analyzed the anti-variant (n = 10) neutralization activity of sera from COVID-19 patients infected with Wuhan (B.1), Kappa, and Delta variants and COVISHIELD vaccine recipients with (prepositives) or without (prenegatives) prior antibody positivity using V- PLEX ACE2 Neutralization Kit from MSD. MSD and PRNT
MeSH term(s)	Humans ; SARS-CoV-2/genetics ; ChAdOx1 nCoV-19 ; COVID-19 Vaccines ; COVID-19/prevention & control ; India ; Antibodies, Neutralizing ; Immunization
Chemical Substances	ChAdOx1 nCoV-19 (B5S3K2V0G8) ; COVID-19 Vaccines ; Antibodies, Neutralizing
Language	English
Publishing date	2023-06-05
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2606827-8
ISSN	1664-3224 ; 1664-3224
ISSN (online)	1664-3224
ISSN	1664-3224
DOI	10.3389/fimmu.2023.1181991
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Article: A Cross-Sectional Study to Determine the Association of Corrected QT Interval With Microalbuminuria in Type 2 Diabetes Mellitus.

Sawarthia, Sonali / Patel, Rishi / Patil, Prajakta P

Cureus

2023 Volume 15, Issue 5, Page(s) e38967

Abstract: Introduction Cardiac autonomic neuropathy (CAN) is a frequent and life-threatening complication of type 2 diabetes. Failure to diagnose can lead to high mortality and morbidity. In patients who have diabetes mellitus, microalbuminuria is an independent ... ...

Abstract	Introduction Cardiac autonomic neuropathy (CAN) is a frequent and life-threatening complication of type 2 diabetes. Failure to diagnose can lead to high mortality and morbidity. In patients who have diabetes mellitus, microalbuminuria is an independent marker for cardiovascular disease. This study aimed to assess the corrected QT interval with microalbuminuria in type 2 diabetes mellitus. The objective of this study was to estimate the corrected QT interval in subjects with type 2 diabetes mellitus and to determine the association of the corrected QT interval with microalbuminuria type 2 diabetes mellitus. Methodology Ninety-five adult patients (>18 years to 65 years) diagnosed with type 2 diabetes mellitus with microalbuminuria were included in this study. Data were collected on the proforma through history taking and a general physical and systemic examination. An electrocardiograph was taken on the day of admission; the most prolonged QT interval was measured, and the RR interval was calculated. The data were statistically analyzed using IBM SPSS Statistics for Windows, Version 24 (Released 2016; IBM Corp., Armonk, New York, United States). Results There was a significant difference in the corrected QT interval prolongation prevalence between diabetic patients with microalbuminuria and without microalbuminuria (P-value <0.001). The mean corrected QT interval distribution did not differ significantly across various age groups of cases studied with microalbuminuria (P-value 0.98). The distribution of mean corrected QT interval did not differ significantly between the group of male cases and group of female cases studied with microalbuminuria (P-value 0.66). The mean corrected QT interval distribution did not differ significantly across various duration of diabetes groups among the cases studied with microalbuminuria (P-value 0.60). The mean corrected QT interval distribution did not differ significantly across different types of anti-diabetic treatment groups among the cases studied with microalbuminuria (P-value 0.64). Conclusion Type 2 diabetes has been prevalent in Indian and Asian populations. The early management of type 2 diabetes is necessary since the early stages of the disease can reduce the risk of CAN. Therefore, these patients should be diagnosed as early as possible and treated to reduce associated mortality and risk and to improve quality of care.
Language	English
Publishing date	2023-05-13
Publishing country	United States
Document type	Journal Article
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.38967
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Article ; Online: Semantic understanding of high spatial resolution remote sensing images using directional geospatial relationships

Stuti Ahuja / Sonali Patil / Ujwala Bhangale

Annals of GIS, Pp 1-

2023 Volume 14

Abstract: ABSTRACTSemantic understanding of high spatial resolution remote sensing (RS) images can be divided into object detection, object labelling, identification of geospatial relationships, and semantic description generation. Geographical relations represent ...

Abstract	ABSTRACTSemantic understanding of high spatial resolution remote sensing (RS) images can be divided into object detection, object labelling, identification of geospatial relationships, and semantic description generation. Geographical relations represent the spatial distribution dependencies between geospatial entities such as points, lines, and polygons, and the topologies among them. Geospatial relations play a very important role in describing the relations between geographic objects. These relations can be broadly classified as topological, directional, and proximity relations. These relations describe the adjacency and association relations between geospatial objects. An approach to identify an appropriate directional geospatial relationship between geo-objects present in high spatial resolution RS images is proposed in this paper. Geospatial objects in the form of the closed boundary are taken as input and relationship triplets are generated. Two approaches have been used in the identification of directional relationships and the results of both approaches are compared. The first approach is based on the centroid of the objects and the second considers whole objects while calculating the direction. These relations are then further represented using a knowledge graph, where nodes represent objects and edges represent their relationship. Knowledge graph plays a very important role in overall scene understanding. It shows the association of all objects with each other. These relationships are then represented in the form of descriptions by using template-based sentence generation. Results show that these directional relationships are accurately identified between each pair of objects using both approaches, but relations generated by considering whole objects are closer to human cognition. Semantic understanding of remote sensing images is of great significance in different applications such as urban surveys, urban planning, and management, military intelligence, etc.
Keywords	Semantic understanding ; object detection ; remote sensing ; directional relations ; geospatial relations ; Mathematical geography. Cartography ; GA1-1776
Subject code	401
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Dataset of Stagnant Water and Wet Surface Label Images for Detection.

Bhutad, Sonali / Patil, Kailas

Data in brief

2021 Volume 40, Page(s) 107752

Abstract	Clean water is one of the essential things in life. The running water in natural forms is considered as clean water. To avoid exposure to countless diseases, it is imperative to separate stagnant water from clean water. Thus the main objective of the proposed paper is to create an image dataset of stagnant water and wet surface to detect stagnant water. Accordingly, we considered stagnant water images in different forms and sizes to construct the dataset. In addition to that, brown and black earth surface is considered for the wet surface detection. The dataset consists of 1976 labeled images captured from various angles with annotated files. The dataset images are labelled for two classes, namely water and wet surface. This dataset is highly useful for deep learning experts working in the field of disease control management and post-rainfall earth surface monitoring.
Language	English
Publishing date	2021-12-23
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2786545-9
ISSN	2352-3409 ; 2352-3409
ISSN (online)	2352-3409
ISSN	2352-3409
DOI	10.1016/j.dib.2021.107752
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Dataset of road surface images with seasons for machine learning applications

Bhutad, Sonali / Patil, Kailas

Data in Brief. 2022 June, v. 42

2022

Abstract	Road surface monitoring plays a vital role in ensuring safety and comfort for the various road users, from pedestrians to drivers. Furthermore, this information is useful for the maintenance of the roads. The road condition deteriorates due to volatile weather. Thus the main objective of the proposed paper is to create an image dataset of the road surface for two seasons, i.e. summer and rainy. Accordingly, we created road surface images for different roads such as paved and unpaved roads. These folders consist of two subfolders for Rainy and Summer potholes. The dataset consists of 8484 images and 10 videos. This dataset is highly useful for machine learning experts working in the field of automatic vehicle controlling and road surface monitoring.
Keywords	data collection ; summer ; weather
Language	English
Dates of publication	2022-06
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	2786545-9
ISSN	2352-3409
ISSN	2352-3409
DOI	10.1016/j.dib.2022.108023
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Stem Cells: Therapeutic Implications in Chemotherapy and Radiotherapy Resistance in Cancer Therapy.

Patil, Tejaswini / Rohiwal, Sonali S / Tiwari, Arpita P

Current stem cell research & therapy

2022 Volume 18, Issue 6, Page(s) 750–765

Abstract: Cancer stem cells (CSCs) are transformed forms of normal stem cells within heterogeneous mixture of cancer cells. These are mainly responsible for the recurrence of cancer after treatment because of their ability to develop resistance against chemo and ... ...

Abstract	Cancer stem cells (CSCs) are transformed forms of normal stem cells within heterogeneous mixture of cancer cells. These are mainly responsible for the recurrence of cancer after treatment because of their ability to develop resistance against chemo and radiotherapy due to various factors such as activation of signalling pathways important for self-renewal, DNA repair capacity, microenvironment and expression of ABC transporters. Targeting these mechanisms as potential factors can eliminate CSCs, which eventually decreases cancer recurrence. This review focuses on the characteristics of CSCs, their role in the development of resistance to chemotherapy and radiotherapy along with the therapeutic potential targets for successful elimination of CSC population.
MeSH term(s)	Humans ; Neoplasms/radiotherapy ; Neoplasms/drug therapy ; Neoplastic Stem Cells/metabolism ; Signal Transduction ; Tumor Microenvironment
Language	English
Publishing date	2022-09-13
Publishing country	United Arab Emirates
Document type	Review ; Journal Article
ZDB-ID	2251937-3
ISSN	2212-3946 ; 1574-888X
ISSN (online)	2212-3946
ISSN	1574-888X
DOI	10.2174/1574888X17666221003125208
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