Publications by authors named "Mumtaz Ali"

The precise monitoring and timely alerting of river water levels represent critical measures aimed at safeguarding the well-being and assets of residents in river basins. Achieving this objective necessitates the development of highly accurate river water level forecasts. Hence, a novel hybrid model is provided, incorporating singular value decomposition (SVD) in conjunction with kernel-based ridge regression (SKRidge), multivariate variational mode decomposition (MVMD), and the light gradient boosting machine (LGBM) as a feature selection method, along with the Runge-Kutta optimization (RUN) algorithm for parameter optimization.

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Water quality modeling in riverine systems is crucial for effective water resource management and pollution mitigation planning. However, the intricate interplay of anthropogenic activities with hydrological, climatic, and fluvial processes presents significant challenges in developing robust models for predicting water quality parameters. This study develops novel deep learning (DL) models, leveraging bidirectional-LSTM (Bi-LSTM) networks and advanced ensemble-based approaches using bootstrap aggregating (BA) combined with alternating model tree (BA_AMT), to predict key water quality parameters, including daily turbidity (TU) and dissolved oxygen (DO).

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This work is based on the synthesis of new ether derivatives bearing benzothiazole (BTA) scaffold through multistep reaction process. Initially, BTA was prepared by refluxing 4-hydroxybenzaldehyde with aminothiophenol having sodium metabisulfite in dimethylformamide (DMF); subsequently, the product was further refluxed with different substituted benzyl and alkyl bromides in acetone to get ether hybrids of BTA in good yields. Structurally, these compounds were confirmed by means of H, C-NMR, and mass spectrometry and evaluated for in vitro thymidine phosphorylase (TP) inhibitory activity.

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Background: Due to the divers biological applications of Cu(II) complexes, we in this study reports the various Cu(II) complexes. The study aims to synthesize and assess new Cu(II) complexes as powerful β-glucuronidase inhibitors.

Methods: Five Schiff base ligands and their complexes were synthesized, characterized, and screened against β-glucuronidase inhibitory activity.

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Expression of concern for 'Optimized Cu-doping in ZnO electro-spun nanofibers for enhanced photovoltaic performance in perovskite solar cells and photocatalytic dye degradation' by Kang Hoon Lee , , 2024, , 15391-15407, https://doi.org/10.1039/D4RA01544D.

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In this study, eleven hydrazone-Schiff bases bearing benzimidazole moiety were synthesized successfully via three step reactions and structures of these products were deduced by HR-ESI-MS, H-, and C-NMR spectroscopic techniques. Lastly, these derivatives were tested for their in vitro urease inhibitory potential. Six compounds among the series attributed excellent inhibition with IC values of 7.

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Background: Non-Nucleoside Reverse Transcriptases Inhibitors (NNRTIs) are among the most extensively studied enzymes for understanding the biology of Human Immunodeficiency Viruses (HIV) and designing inhibitors for managing HIV infections. Indolyl aryl sulfones (IASs), an underexplored class of potent NNRTIs, require further exploration for the development of newer drugs for HIV.

Aims: In this context, we synthesized a series of novels by Indolyl Aryl Sulfones with a hydrazone moiety at the carboxylate site of the indole nucleus.

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In light of various biological activities of benzimidazole and azines, this study focuses on reporting novel derivatives of benzimidazole nucleus. Twenty novel azines of benzimidazole were synthesized, characterized and tested for urease inhibitory activity. All these derivatives showed excellent to good inhibition in the range of IC values 14.

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Synthesis of novel -Schiff bases having potent inhibitory activity against phosphodiesterase (PDE-1 and -3) enzymes, potentially offering therapeutic implications for various conditions. -Schiff bases were synthesized by refluxing 2,4-dihydroxyacetophenone with hydrazine hydrate, followed by treatment of substituted aldehydes with the resulting hydrazone to obtain the product compounds. After structural confirmation, the compounds were screened for their PDE-1 and -3 inhibitory activities.

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The expanding computer landscape leads us toward ubiquitous computing, in which smart gadgets seamlessly provide intelligent services anytime, anywhere. Smartphones and other smart devices with multiple sensors are at the vanguard of this paradigm, enabling context-aware computing. Similar setups are also known as smart spaces.

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Article Synopsis
  • Electrical conductivity (EC) is a key water quality measure used to assess salinity and mineralization, and the research predicts EC for two Australian rivers using a new deep learning model called Boruta-XGB-CNN-LSTM.
  • The study compared Boruta-XGB-CNN-LSTM's performance with other machine learning methods (MLP, KNN, and XGBoost) by analyzing data from 10 years, using 7 years for training and 3 years for testing.
  • Results indicated that Boruta-XGB-CNN-LSTM performed better in predicting EC one day ahead for both rivers, with high correlation coefficients and low error metrics, though its accuracy slightly decreased when forecasting up to 10 days ahead.
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In this study, eleven novel acyl hydrazides derivative of polyhydroquinoline were synthesized, characterized and screened for their in vitro anti-diabetic and anti-glycating activities. Seven compounds 2a, 2d, 2i, 2 h, 2j, 2f, and 2 g exhibited notable α-amylase inhibitory activity having IC values from 3.51 ± 2.

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Thirteen novel hydrazone-Schiff bases (3-15) of fexofenadine were succesfully synthesized, structurally deduced and finally assessed their capability to inhibit urease enzyme (in vitro). In the series, six compounds 12 (IC=10.19±0.

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Article Synopsis
  • - Perovskite solar cells (PSCs) are a competitive alternative to conventional solar cells, benefiting from low-temperature processing and high power conversion efficiency, but they face challenges with charge transport in their electron transport layer (ETL).
  • - Research shows that copper-doped zinc oxide nanofibers, with 3 wt% Cu, provide the best performance as ETL due to improved charge mobility and electrical efficiency, resulting in enhanced solar cell efficiencies up to 9.79%.
  • - The study also reveals that these Cu-doped ZnO nanofibers exhibit strong antibacterial and photocatalytic activities, achieving 95% dye degradation under visible light and demonstrating significant antibacterial properties through reactive oxygen species production.
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In recent years, polyhydroquinolines have gained much attention due to their widespread applications in medicine, agriculture, industry, Here, we synthesized a series of novel hydrazone-based polyhydroquinoline derivatives multi-step reactions. These molecules were characterized by modern spectroscopic techniques (H-NMR, C NMR, and LC-HRMS) and their antibacterial and α-glucosidase inhibitory activities were assessed. Compound 8 was found to be the most active inhibitor against NCTC 5348, IM 622, , and ATCC 6337 with a zone of inhibition of 15.

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Nano-carbon-reinforced polymer composites have gained much consideration in functional applications due to their attractive mechanical strength and cost-effectiveness. The surface chemistry and associated mechanical strength of carbon nanotubes (CNTs), graphene, and other carbon derivative-based nanocomposites are well understood. While CQDs are considered emerging carbon derivatives, their surface chemistry, unique physio-chemical properties, and dispersion behavior in polymers are yet to be explored.

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This research work reports the synthesis of new derivatives of the hydrazone Schiff bases () based on polyhydroquinoline nucleus through multistep reactions. HR-ESIMS,H- and C-NMR spectroscopy were used to structurally infer all of the synthesized compounds and lastly evaluated for prolyl oligopeptidase inhibitory activity. All the prepared products displayed good to excellent inhibitory activity when compared with standard z-prolyl-prolinal.

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Correction for 'Carbon quantum dots (CQDs)-modified polymers: a review of non-optical applications' by Zeeshan Latif , , 2024, , 2265-2288, https://doi.org/10.1039/D3NR04997C.

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A series of twenty-seven bis(acylhydrazones) were successfully synthesized with high yields through a multistep process, which entailed the esterification of hydroxyl groups, hydrazination with an excess of hydrazine hydrate, and subsequent reactions with various carbonyl moieties (aldehydes). In the final stage of synthesis, different chemical species including aromatic, heterocyclic, and aliphatic compounds were integrated into the framework. The resulting compounds were characterized using several spectroscopic techniques (H NMR, C NMR, and mass spectrometry).

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Limited efficiency, lower durability, moisture absorbance, and pest/fungal/bacterial interaction/growth are the major issues relating to porous nonwovens used for acoustic and thermal insulation in buildings. This research investigated porous nonwoven textiles composed of recycled cotton waste (CW) fibers, with a specific emphasis on the above-mentioned problems using the treatment of silicon coating and formation of nanofibers via facile-solution processing. The findings revealed that the use of an economic and eco-friendly superhydrophobic (contact angle higher than 150°) modification of porous nonwovens with silicon nanofibers significantly enhanced their intrinsic characteristics.

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Carbon quantum dots (CQDs) are a promising candidate to replace metal-based additives for polymer reinforcement and functionalization. Specifically, vast interest in CQDs for polymer functionalization stems from their cost effectiveness, sustainable organic precursors, and their non-toxicity. Although several reviews of optical devices based on CQDs have been reported, this mini-review covers the non-optical aspects of CQD-polymer composites.

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This research work is based on the synthesis of -Schiff base derivatives of the commercially available ibuprofen drug in outstanding yields through multistep reactions. Structures of the synthesized compounds were confirmed by the help of modern spectroscopic techniques including high-resolution electrospray ionization mass spectrometry (HR-ESI-MS), H NMR, and C NMR. The synthesized compounds were evaluated for their anticancer activity using a normal human embryonic kidney HEK293 cell and U87-malignant glioma (ATCC-HTB-14) as a cancer cell line.

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Medication used to treat Type 2 diabetes by decreasing the absorption of carbohydrates in the intestine consists of α-glucosidase inhibitors. Polyhydroquinoline derivatives have attracted interest as excellent antidiabetic agents. Polyhydroquinoline derivatives () were synthesized and tested for α-glucosidase inhibitory activity.

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