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Article ; Online: Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model.

Mohseni, Usman / Pande, Chaitanya B / Chandra Pal, Subodh / Alshehri, Fahad

2024 Volume 352, Page(s) 141393

Abstract: Urban water quality index (WQI) is an important factor for assessment quality of groundwater in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index (WA-WQI) was estimated for understanding the groundwater quality. Four ...

Abstract	Urban water quality index (WQI) is an important factor for assessment quality of groundwater in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index (WA-WQI) was estimated for understanding the groundwater quality. Four machine learning (ML) models were developed including artificial neural network (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XG-Boost) in addition to multiple linear regression (MLR) for WA-WQI prediction at the Ujjain city of Madhya Pradesh in India. Groundwater quality samples were collected from 54 wards under the urban area, the main eight different physiochemical parameters were selected for WA-WQI prediction. The different input parameters data were analysed and calculated for the relationships of their ability to predict the results of WA-WQI. The ML models performance were calculated using three statistical metrics such as determination coefficient (R
MeSH term(s)	Water Quality ; Machine Learning ; Neural Networks, Computer ; Groundwater ; Linear Models
Language	English
Publishing date	2024-02-05
Publishing country	England
Document type	Journal Article
ZDB-ID	120089-6
ISSN	1879-1298 ; 0045-6535 ; 0366-7111
ISSN (online)	1879-1298
ISSN	0045-6535 ; 0366-7111
DOI	10.1016/j.chemosphere.2024.141393
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Article ; Online: Chitosan-based nanofibrous scaffolds for biomedical and pharmaceutical applications: A comprehensive review.

Almajidi, Yasir Qasim / Ponnusankar, Sivasankaran / Chaitanya, M V N L / Marisetti, Arya Lakshmi / Hsu, Chou-Yi / Dhiaa, Aya Mohammed / Saadh, Mohamed J / Pal, Yogendra / Thabit, Russul / Adhab, Ayat Hussein / Alsaikhan, Fahad / Narmani, Asghar / Farhood, Bagher

International journal of biological macromolecules

2024 Volume 264, Issue Pt 2, Page(s) 130683

Abstract: Nowadays, there is a wide range of deficiencies in treatment of diseases. These limitations are correlated with the inefficient ability of current modalities in the prognosis, diagnosis, and treatment of diseases. Therefore, there is a fundamental need ... ...

Abstract	Nowadays, there is a wide range of deficiencies in treatment of diseases. These limitations are correlated with the inefficient ability of current modalities in the prognosis, diagnosis, and treatment of diseases. Therefore, there is a fundamental need for the development of novel approaches to overcome the mentioned restrictions. Chitosan (CS) nanoparticles, with remarkable physicochemical and mechanical properties, are FDA-approved biomaterials with potential biomedical aspects, like serum stability, biocompatibility, biodegradability, mucoadhesivity, non-immunogenicity, anti-inflammatory, desirable pharmacokinetics and pharmacodynamics, etc. CS-based materials are mentioned as ideal bioactive materials for fabricating nanofibrous scaffolds. Sustained and controlled drug release and in situ gelation are other potential advantages of these scaffolds. This review highlights the latest advances in the fabrication of innovative CS-based nanofibrous scaffolds as potential bioactive materials in regenerative medicine and drug delivery systems, with an outlook on their future applications.
MeSH term(s)	Chitosan/chemistry ; Pharmaceutical Preparations ; Nanofibers/chemistry ; Biocompatible Materials ; Tissue Scaffolds/chemistry ; Tissue Engineering
Chemical Substances	Chitosan (9012-76-4) ; Pharmaceutical Preparations ; Biocompatible Materials
Language	English
Publishing date	2024-03-06
Publishing country	Netherlands
Document type	Journal Article ; Review
ZDB-ID	282732-3
ISSN	1879-0003 ; 0141-8130
ISSN (online)	1879-0003
ISSN	0141-8130
DOI	10.1016/j.ijbiomac.2024.130683
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Article ; Online: Source identification and potential health risks from elevated groundwater nitrate contamination in Sundarbans coastal aquifers, India.

Pal, Subodh Chandra / Biswas, Tanmoy / Jaydhar, Asit Kumar / Ruidas, Dipankar / Saha, Asish / Chowdhuri, Indrajit / Mandal, Sudipto / Islam, Aznarul / Islam, Abu Reza Md Towfiqul / Pande, Chaitanya B / Alam, Edris / Islam, Md Kamrul

Scientific reports

2024 Volume 14, Issue 1, Page(s) 4153

Abstract: In recent years groundwater contamination through nitrate contamination has increased rapidly in the managementof water research. In our study, fourteen nitrate conditioning factors were used, and multi-collinearity analysis is done. Among all variables, ...

Abstract	In recent years groundwater contamination through nitrate contamination has increased rapidly in the managementof water research. In our study, fourteen nitrate conditioning factors were used, and multi-collinearity analysis is done. Among all variables, pH is crucial and ranked one, with a value of 0.77, which controls the nitrate concentration in the coastal aquifer in South 24 Parganas. The second important factor is Cl
MeSH term(s)	Humans ; Nitrates/analysis ; Environmental Monitoring/methods ; Water Pollutants, Chemical/analysis ; Groundwater/analysis ; India ; Water/analysis
Chemical Substances	Nitrates ; Water Pollutants, Chemical ; Water (059QF0KO0R)
Language	English
Publishing date	2024-02-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-54646-0
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Article ; Online: MicroRNA-155 and cancer metastasis: Regulation of invasion, migration, and epithelial-to-mesenchymal transition.

Moutabian, Hossein / Radi, Usama Kadem / Saleman, Abdulkarem Younis / Adil, Mohaned / Zabibah, Rahman S / Chaitanya, Mv N L / Saadh, Mohamed J / Jawad, Mahmood Jasem / Hazrati, Ebrahi / Bagheri, Hamed / Pal, Rashmi Saxena / Akhavan-Sigari, Reza

Pathology, research and practice

2023 Volume 250, Page(s) 154789

Abstract: Among the leading causes of death globally has been cancer. Nearly 90% of all cancer-related fatalities are attributed to metastasis, which is the growing of additional malignant growths out of the original cancer origin. Therefore, a significant ... ...

Abstract	Among the leading causes of death globally has been cancer. Nearly 90% of all cancer-related fatalities are attributed to metastasis, which is the growing of additional malignant growths out of the original cancer origin. Therefore, a significant clinical need for a deeper comprehension of metastasis exists. Beginning investigations are being made on the function of microRNAs (miRNAs) in the metastatic process. Tiny non-coding RNAs called miRNAs have a crucial part in controlling the spread of cancer. Some miRNAs regulate migration, invasion, colonization, cancer stem cells' properties, the epithelial-mesenchymal transition (EMT), and the microenvironment, among other processes, to either promote or prevent metastasis. One of the most well-conserved and versatile miRNAs, miR-155 is primarily distinguished by overexpression in a variety of illnesses, including malignant tumors. It has been discovered that altered miR-155 expression is connected to a number of physiological and pathological processes, including metastasis. As a result, miR-155-mediated signaling pathways were identified as possible cancer molecular therapy targets. The current research on miR-155, which is important in controlling cancer cells' invasion, and metastasis as well as migration, will be summarized in the current work. The crucial significance of the lncRNA/circRNA-miR-155-mRNA network as a crucial regulator of carcinogenesis and a player in the regulation of signaling pathways or related genes implicated in cancer metastasis will be covered in the final section. These might provide light on the creation of fresh treatment plans for controlling cancer metastasis.
Language	English
Publishing date	2023-09-12
Publishing country	Germany
Document type	Journal Article ; Review
ZDB-ID	391889-0
ISSN	1618-0631 ; 0344-0338
ISSN (online)	1618-0631
ISSN	0344-0338
DOI	10.1016/j.prp.2023.154789
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Article ; Online: Reconciling the Gap between Medications and their Potential Leads: The Role of Marine Metabolites in the Discovery of New Anticancer Drugs: A Comprehensive Review.

Thaman, Janvee / Pal, Rashmi Saxena / Chaitanya, Motamarri Venkata Naga Lalitha / Yanadaiah, Palakurthi / Thangavelu, Prabha / Sharma, Sarika / Amoateng, Patrick / Arora, Smriti / Sivasankaran, Ponnusankar / Pandey, Pratibha / Mazumder, Avijit

Current pharmaceutical design

2023 Volume 29, Issue 39, Page(s) 3137–3153

Abstract: One-third of people will be diagnosed with cancer at some point in their lives, making it the second leading cause of death globally each year after cardiovascular disease. The complex anticancer molecular mechanisms have been understood clearly with the ...

Abstract	One-third of people will be diagnosed with cancer at some point in their lives, making it the second leading cause of death globally each year after cardiovascular disease. The complex anticancer molecular mechanisms have been understood clearly with the advent of improved genomic, proteomic, and bioinformatics. Our understanding of the complex interplay between numerous genes and regulatory genetic components within cells explaining how this might lead to malignant phenotypes has greatly expanded. It was discovered that epigenetic resistance and a lack of multitargeting drugs were highlighted as major barriers to cancer treatment, spurring the search for innovative anticancer treatments. It was discovered that epigenetic resistance and a lack of multitargeting drugs were highlighted as major barriers to cancer treatment, spurring the search for innovative anticancer treatments. Many popular anticancer drugs, including irinotecan, vincristine, etoposide, and paclitaxel, have botanical origins. Actinomycin D and mitomycin C come from bacteria, while bleomycin and curacin come from marine creatures. However, there is a lack of research evaluating the potential of algae-based anticancer treatments, especially in terms of their molecular mechanisms. Despite increasing interest in the former, and the promise of the compounds to treat tumours that have been resistant to existing treatment, pharmaceutical development of these compounds has lagged. Thus, the current review focuses on the key algal sources that have been exploited as anticancer therapeutic leads, including their biological origins, phytochemistry, and the challenges involved in converting such leads into effective anticancer drugs.
MeSH term(s)	Humans ; Proteomics ; Antineoplastic Agents/pharmacology ; Antineoplastic Agents/therapeutic use ; Neoplasms/drug therapy ; Drug Development ; Plants ; Biological Products/pharmacology ; Biological Products/therapeutic use
Chemical Substances	Antineoplastic Agents ; Biological Products
Language	English
Publishing date	2023-11-29
Publishing country	United Arab Emirates
Document type	Review ; Journal Article
ZDB-ID	1304236-1
ISSN	1873-4286 ; 1381-6128
ISSN (online)	1873-4286
ISSN	1381-6128
DOI	10.2174/0113816128272025231106071447
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Article ; Online: A smartphone-based standalone fluorescence spectroscopy tool for cervical precancer diagnosis in clinical conditions.

Shukla, Shivam / Deo, Bhaswati Singha / Vishwakarma, Chaitanya / Mishra, Subrata / Ahirwar, Shikha / Sah, Amar Nath / Pandey, Kiran / Singh, Sweta / Prasad, S N / Padhi, Ashok Kumar / Pal, Mayukha / Panigrahi, Prasanta K / Pradhan, Asima

Journal of biophotonics

2024 , Page(s) e202300468

Abstract: Real-time prediction about the severity of noncommunicable diseases like cancers is a boon for early diagnosis and timely cure. Optical techniques due to their minimally invasive nature provide better alternatives in this context than the conventional ... ...

Abstract	Real-time prediction about the severity of noncommunicable diseases like cancers is a boon for early diagnosis and timely cure. Optical techniques due to their minimally invasive nature provide better alternatives in this context than the conventional techniques. The present study talks about a standalone, field portable smartphone-based device which can classify different grades of cervical cancer on the basis of the spectral differences captured in their intrinsic fluorescence spectra with the help of AI/ML technique. In this study, a total number of 75 patients and volunteers, from hospitals at different geographical locations of India, have been tested and classified with this device. A classification approach employing a hybrid mutual information long short-term memory model has been applied to categorize various subject groups, resulting in an average accuracy, specificity, and sensitivity of 96.56%, 96.76%, and 94.37%, respectively using 10-fold cross-validation. This exploratory study demonstrates the potential of combining smartphone-based technology with fluorescence spectroscopy and artificial intelligence as a diagnostic screening approach which could enhance the detection and screening of cervical cancer.
Language	English
Publishing date	2024-03-17
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2390063-5
ISSN	1864-0648 ; 1864-063X
ISSN (online)	1864-0648
ISSN	1864-063X
DOI	10.1002/jbio.202300468
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Article ; Online: Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling

Chaitanya B. Pande / Pranaya Diwate / Israel R. Orimoloye / Lariyah Mohd Sidek / Arun Pratap Mishra / Kanak N. Moharir / Subodh Chandra Pal / Fahad Alshehri / Abebe Debele Tolche

Geomatics, Natural Hazards & Risk, Vol 15, Iss

2024 Volume 1

Abstract: AbstractThis research uses a Classification and Regression Tree (CART) model with Google Earth Engine (GEE) to assess the winter season’s land cover and change detection mapping impact on the evapotranspiration (crop water requirement) parameters. Winter ...

Abstract	AbstractThis research uses a Classification and Regression Tree (CART) model with Google Earth Engine (GEE) to assess the winter season’s land cover and change detection mapping impact on the evapotranspiration (crop water requirement) parameters. Winter seasons, crucial for agricultural planning, and irrigation water requirement challenges in accurately mapping land cover and detecting changes due to the dynamic nature of farming practices during this period. In this study, Landsat-8 OLI images have been combined to map Land use and Land cover (LULC) and other change detection mapping in Akola Block, Maharashtra, India, during the 2018–2022 winter season. As an discoverer researcher that found detailed information of LULC classes during last 2018 to 2022 winter seasons, the use of the CART model in combination with a cloud-computing GEE demonstrates to be a practical approach for accurate land cover classification and change detection maps to create a pixel-based winter seasons information of study area. The novelty of this study lies in its innovative use of GEE, a powerful platform for remote sensing and geospatial analysis, to create LULC maps with remarkable accuracy. Achieving a 100% training accuracy across the four years under consideration is an exceptional feat, highlighting the reliability and stability of the methodology. Furthermore, the validation accuracy values, ranging from 89 to 94% for the winter seasons of 2018 to 2022, underscore the robustness of this approach. Such consistently high accuracy in mapping LULC over time is a groundbreaking achievement and offers a new dimension to the field of hydrology. For the hydrological community, the implications of this study are profound. Accurate LULC mapping and change detection provide critical data for modeling and analyzing the effects of land use changes on water resources, watershed management, and water quality. The User, Kappa, and Producer accuracy metrics used in this research highlight the model’s performance and its suitability for ...
Keywords	GEE ; CART model ; LULC ; satellite data ; remote sensing ; energy ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350 ; Risk in industry. Risk management ; HD61
Subject code	333
Language	English
Publishing date	2024-12-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A Rare Culprit of Spontaneous Abortion, Latent Tuberculosis Complicated by Disseminated Peritoneal TB.

Sossou, Christoph / Pal, Chaitanya / Bustillo, Jose R

Case reports in infectious diseases

2018 Volume 2018, Page(s) 2318539

Abstract: This is a case of a 38-year-old female with latent TB complicated by disseminated peritoneal TB with associated spontaneous abortion, who was initially thought to have an ovarian neoplasm, prompting extensive workup. Laparoscopy with biopsy later ... ...

Abstract	This is a case of a 38-year-old female with latent TB complicated by disseminated peritoneal TB with associated spontaneous abortion, who was initially thought to have an ovarian neoplasm, prompting extensive workup. Laparoscopy with biopsy later confirmed the patient's condition; she was initiated on the appropriate therapy and had a full recovery.
Language	English
Publishing date	2018-10-28
Publishing country	Egypt
Document type	Case Reports
ZDB-ID	2627642-2
ISSN	2090-6633 ; 2090-6625
ISSN (online)	2090-6633
ISSN	2090-6625
DOI	10.1155/2018/2318539
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Article ; Online: Distinct gut and vaginal microbiota profile in women with recurrent implantation failure and unexplained infertility.

Patel, Nayna / Patel, Nidhi / Pal, Sejal / Nathani, Neelam / Pandit, Ramesh / Patel, Molina / Patel, Niket / Joshi, Chaitanya / Parekh, Bhavin

BMC women's health

2022 Volume 22, Issue 1, Page(s) 113

Abstract: Background: Female reproductive tract dysbiosis impacts implantation. However, whether gut dysbiosis influences implantation failure and whether it accompanies reproductive tract dysbiosis remains scantly explored. Herein, we examined the gut-vaginal ... ...

Abstract	Background: Female reproductive tract dysbiosis impacts implantation. However, whether gut dysbiosis influences implantation failure and whether it accompanies reproductive tract dysbiosis remains scantly explored. Herein, we examined the gut-vaginal microbiota axis in infertile women. Methods: We recruited 11 fertile women as the controls, and a cohort of 20 infertile women, 10 of whom had recurrent implantation failure (RIF), and another 10 had unexplained infertility (UE). Using amplicon sequencing, which employs PCR to create sequences of DNA called amplicon, we compared the diversity, structure, and composition of faecal and vaginal bacteria of the controls with that of the infertile cohort. Of note, we could only sequence 8 vaginal samples in each group (n = 24/31). Result: Compared with the controls, α-diversity and β-diversity of the gut bacteria among the infertile groups differed significantly (p < 0.05). Taxa analysis revealed enrichment of Gram-positive bacteria in the RIF group, whereas Gram-negative bacteria were relatively abundant in the UE group. Strikingly, mucus-producing genera declined in the infertile cohort (p < 0.05). Hungatella, associated with trimethylamine N-oxide (TMAO) production, were enriched in the infertile cohort (p < 0.05). Vaginal microbiota was dominated by the genus Lactobacillus, with Lactobacillus iners AB-1 being the most abundant species across the groups. Compared with the infertile cohort, overgrowth of anaerobic bacteria, associated with vaginal dysbiosis, such as Leptotrichia and Snethia, occurred in the controls. Conclusion: The gut microbiota had little influence on the vaginal microbiota. Gut dysbiosis and vaginal eubiosis occurred in the infertile women, whereas the opposite trend occurred in the controls.
MeSH term(s)	Dysbiosis/complications ; Dysbiosis/microbiology ; Female ; Humans ; Infertility, Female ; Microbiota ; RNA, Ribosomal, 16S/genetics ; Vagina/microbiology
Chemical Substances	RNA, Ribosomal, 16S
Language	English
Publishing date	2022-04-12
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2050444-5
ISSN	1472-6874 ; 1472-6874
ISSN (online)	1472-6874
ISSN	1472-6874
DOI	10.1186/s12905-022-01681-6
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Article ; Online: Distinct gut and vaginal microbiota profile in women with recurrent implantation failure and unexplained infertility

Nayna Patel / Nidhi Patel / Sejal Pal / Neelam Nathani / Ramesh Pandit / Molina Patel / Niket Patel / Chaitanya Joshi / Bhavin Parekh

BMC Women's Health, Vol 22, Iss 1, Pp 1-

2022 Volume 15

Abstract: Abstract Background Female reproductive tract dysbiosis impacts implantation. However, whether gut dysbiosis influences implantation failure and whether it accompanies reproductive tract dysbiosis remains scantly explored. Herein, we examined the gut- ... ...

Abstract	Abstract Background Female reproductive tract dysbiosis impacts implantation. However, whether gut dysbiosis influences implantation failure and whether it accompanies reproductive tract dysbiosis remains scantly explored. Herein, we examined the gut-vaginal microbiota axis in infertile women. Methods We recruited 11 fertile women as the controls, and a cohort of 20 infertile women, 10 of whom had recurrent implantation failure (RIF), and another 10 had unexplained infertility (UE). Using amplicon sequencing, which employs PCR to create sequences of DNA called amplicon, we compared the diversity, structure, and composition of faecal and vaginal bacteria of the controls with that of the infertile cohort. Of note, we could only sequence 8 vaginal samples in each group (n = 24/31). Result Compared with the controls, α-diversity and β-diversity of the gut bacteria among the infertile groups differed significantly (p < 0.05). Taxa analysis revealed enrichment of Gram-positive bacteria in the RIF group, whereas Gram-negative bacteria were relatively abundant in the UE group. Strikingly, mucus-producing genera declined in the infertile cohort (p < 0.05). Hungatella, associated with trimethylamine N-oxide (TMAO) production, were enriched in the infertile cohort (p < 0.05). Vaginal microbiota was dominated by the genus Lactobacillus, with Lactobacillus iners AB-1 being the most abundant species across the groups. Compared with the infertile cohort, overgrowth of anaerobic bacteria, associated with vaginal dysbiosis, such as Leptotrichia and Snethia, occurred in the controls. Conclusion The gut microbiota had little influence on the vaginal microbiota. Gut dysbiosis and vaginal eubiosis occurred in the infertile women, whereas the opposite trend occurred in the controls.
Keywords	Gut microbiota ; Vaginal microbiota ; Implantation failure ; Infertility ; Dysbiosis ; Gynecology and obstetrics ; RG1-991 ; Public aspects of medicine ; RA1-1270
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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