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Phytochemicals and bioactive compounds effective against acute myeloid leukemia: A systematic review
Full text linkThis systematic review identified various bioactive compounds which have the potential to serve as novel drugs or leads against acute myeloid leukemia. Acute myeloid leukemia (AML) is a heterogeneous hematopoietic malignancy that arises from the dysregulation of cell differentiation, proliferation, and cell death. The risk factors associated with the onset of AML include long-term exposure to radiation and chemicals such as benzene, smoking, genetic disorders, blood disorders, advancement in age, and others. Although novel strategies to manage AML, including a refinement of the conventional chemotherapy regimens, hypomethylating agents, and molecular targeted drugs, have been developed in recent years, resistance and relapse remain the main clinical problems. In this study, three databases, PubMed/MEDLINE,
ScienceDirect, and Google Scholar, were systematically searched to identify various bioactive compounds with antileukemic properties. A total of 518 articles were identified, out of which 59 were viewed as eligible for the current report. From the data extracted, over 60 bioactive compounds were identified and divided into five major groups: flavonoids, alkaloids, organosulfur compounds, terpenes, and terpenoids, and other known and emerging bioactive compounds. The mechanism of actions of the analyzed individual bioactive molecules differs remarkably and includes disrupting chromatin structure, upregulating the synthesis of certain DNA repair proteins, inducing cell cycle arrest and apoptosis, and inhibiting/regulating Hsp90 activities, DNA methyltransferase 1, and histone deacetylase 1
Thermodynamic, transport and spectral studies (FTIR) for some binary liquid mixtures of morpholine with isopropyl acetate, N-methylformamide and 2-propanol at various temperatures
No full textABSTRACT
Densities, speeds of sound and viscosities of binary mixtures of morpho�line with isopropylacetate, N-methylformamide and 2-propanol including those of pure liquids, over the entire composition range were measured at various temperatures (303.15, 308.15 and 313.15) K and 0.1MPa. Using the
experimental data, the excess volume, excess isentropic compressibility, deviation in viscosity, excess partial properties of the components at infinite dilution were calculated. Finally, the Prigogine-Flory-Patterson (PFP) Theory is applied to identify the most predominant molecular inter�action. Jouyban Acree model was used to correlate the experimental values of density, speed of sound and viscosity. Further binary mixing
and FT-IR spectra were studied at equimolar concentration. From these results, the nature of interaction has been discussed in terms of intermo�lecular interaction between the mixing component
Quality by Design based pareto charts responses Evaluation approach for a Validated Stability-indicating RP-HPLC assay Method for sunitinib and its process related impurities in Oral Dosage Forms
No full textABSTRACT:
For sunitinib (SUN) and its associated impurities, a convenient and rapid stability-indicating liquid chromatographic assay technique was devised. The SUN related impurities in the completed oral dose forms were detected and assessed utilizing the high-pressure liquid chromatography with help of analytical quality by design (AQbD) approach. Impurity quantification necessitates a more comprehensive approach to analytical
technique generation. The pareto charts evaluation technique, that is dependent on quality by design, enables for
the evaluation of many analytical aspects and their consequences with a small series of investigations. A spiked
sample mixture was separated to six specified known SUN impurities as well as undefined degradation products
with reasonable chromatographic resolution. The segregation was undertaken on a column of C18 (150 mm x 4.6
mm, 3.5 µm) with a mobile phase flow volume of 1.0 ml in a minute in a gradient elution manner. The mobile
phase component A was composed of 20 mM KH2PO4 (pH 7.0), while the mobile phase component B was acetonitrile. Compound detection was conducted out at 268 nm, with the column temperature kept fixed at 40 oC. Stress degradation samples were subjected to oxidation, acid, base, thermal, and photolysis consistent with the endorsements of “International Conference on Harmonization” (Q2) methodology. The established method for SUN and its associated impurities assessment was validated as stability indicating, precise, robust, specific, rugged, and accurate
A turn-on fluorescent sensor for the detection of putrescine in fish samples using thiazole derivative
No full textABSTRACT
A simple optical method is suggested for the quantitative detection of putrescine using a thiazole derivative
(4CTP). The protocol is based on the formation of a complex between putrescine and the 4CTP with ratio 1:2.
Synthesized organic compound (4CTP) shows high selective detection of putrescine in various fish samples
through the photophysical properties using UV and fluorescence spectroscopy. At the optimal condition, good
linearity has been achieved at putrescine concentrations ranging from 5 to 30 μM with low detection limit (LOD)
of 68 nM. The binding mechanism is ICT and electronic properties were studied using density functional theory
(DFT
Construction of Mechanically Interlocked Fluorescence Photoswitchable [2]Rotaxane with Aggregation-Induced Emission and Molecular Shuttling Behaviors
No full textABSTRACT: Here, we report the design, synthesis, and optical
behaviors of a multistimuli responsive [2]rotaxane system
constructed from noncovalent interactions between diarylethene (DAE)-based axle and a tetraphenylethene (TPE)-based macro�cycle using a snapping supramolecular assembly approach. The shuttling behavior of the macrocycle (Ring-TPE) between dialkylammonium and urea stations could be realized by the influence of acid−base stimuli using 1 H NMR spectroscopy. Switching between the open-form (OF) [2]rotaxanes (DAE-R1- OF and DAE-R2-OF) is highly reversible using external chemical stimuli. These rotaxane systems exhibit enhanced blue fluorescence in their aggregation states despite being weak or nonemissive in solution. A significant increase in fluorescence emission intensity of typical TPE in DAE-R1-OF and DAE-R2-OF at ca. 467 nm was observed as the water content was increased to ≥70% in CH3CN/ H2O solvent mixtures. However, the fluorescence emission of TPE at its maximum aggregation state (95% fw) could be rapidly quenched upon UV light irradiation due to a very efficient energy transfer from the excited TPE (donor) to the closed form of DAE (acceptor). In contrast, OF DAE does not affect the fluorescence of the TPE unit, which remains at high level. Furthermore, the
[2]rotaxanes showed excellent photochromic and fluorescent properties in solution, making them suitable for information storage and reversible photo-patterning application
Quantum-chemical prediction of the effects of Ni-loading on the hydrogenation and water-splitting efficiency of TiO2 nanoparticles with an experimental test
No full textabstract
The effects of Ni-loading on TiO2 nanoparticles can pronouncedly reduce the barriers for dissociation of
H2 from 48 kcal/mol on the pure TiO2 to as low as 1–3 kcal/mol on the loaded samples facilitating the hydrogenation of NPs. Preliminary data of our test indicate that the hydrogenation of Ni-loaded TiO2 NPs results in a significant UV–visible absorption extending well beyond 750 nm with an increase in water splitting efficiency by as much as 67 times over those of pure and hydrogenated TiO2 NPs with�out Ni-loading under our mild hydrogenation condition using 800 Torr of H2 at 300 �C for 3 h
Feature and Subfeature Selection for Classification Using Correlation Coefficient and Fuzzy Model
Full text linkThis article presents an analysis of data extraction for
classification using correlation coefficient and fuzzy model. Several traditional methods of data extraction are used for classification that could not provide sufficient information for further step of data analysis on class. It needs refinement of features data to distinguish a class that differs from a traditional class. Thus, it proposes the feature tiny data (subfeature data) to find distinguish class from a traditional class using two methods such as correlation coefficient and fuzzy model to select features as well as subfeature for distinguishing class. In the first approach, the correlation coefficient methods with gradient descent technique are used to select features from the dataset and in the second approach, the fuzzy model with supreme of minimum value is considered to get subfeature data. As per the proposed model, some features (i.e., three features from the acoustic dataset, two features from the QCM dataset, and eight features from the audit dataset, etc.) and subfeatures
(as per threshold value like 20 for acoustic; 10 for QCM, and 20
for audit, etc.) are selected based on correlation coefficient as well as fuzzy methods, respectively. Further, the probability approach is used to find the association and availability of subfeature data from the dimensional reduced database. The experimental results show the proposed framework identifies and selects both feature and subfeature data with the effectiveness of the new class. The comparison results of several classifiers on several datasets are explained in the experimental sectio
Design and evaluation of a interval valued intuitionistic multi fuzzy completely generalized semipre continuous mappings
No full textFuzzy sets introduced to overthrow the uncertainty of an object. Interval valued intuitionistic fuzzy sets in topological
structure space is an extension of fuzzy sets. Interval-valued intuitionistic multi fuzzy set theory is a capable tool for
commerce with ambivalence of expertise in information systems. The motive of this paper is to present interval valued
intuitionistic multi fuzzy completely generalized semiprecontinuous mappings and provide some of their properties. Also
we proved the relation between various types of interval valued intuitionistic multi fuzzy continuous mappings
-Conformal -Ricci soliton within the framework of Kenmotsu manifolds
Full text linkThe goal of our present paper is to deliberate ∗-conformal η-Ricci soliton within the framework of Kenmotsu manifolds. Here we show that a Kenmotsu metric as a ∗-conformal η-Ricci soliton is Einstein metric if the soliton vector field is contact. Further, we evolve the characterization of the Kenmotsu manifold or the nature of
the potential vector field when the manifold satisfies gradient almost ∗-conformal η Ricci soliton. Next, we contrive ∗-conformal η-Ricci soliton admitting (κ,μ)-almost Kenmotsumanifold andprovethat the manifold is Ricci flat and is locally isometric to
Hn+1(−4)×Rn. Finally we construct some examples to illustrate the existence of ∗ conformal η-Ricci soliton, gradient almost ∗-conformal η-Ricci soliton on Kenmotsu manifold and (κ,μ)-almost Kenmotsu manifold
Predicting Flight Delays Using Machine Learning Techniques and Aviation Big Data
Full text linkFlight delays are a significant challenge in the aviation industry, causing inconvenience to passengers and leading to financial losses for airlines and airports. To address this challenge, machine learning algorithms have been applied to analyze big data from aviation sources and predict potential flight delays. Using historical flight data, weather data, and other relevant information, machine learning algorithms can accurately predict flight delays and help airlines and airports manage their resources more efficiently. This paper provides an overview of flight delay prediction based on aviation big data and machine learning, highlighting its benefits, techniques, and applications