Flaxseed, derived from the humble flax plant (Linum usitatissimum L.), has gained substantial recognition as a nutritional powerhouse in recent years. This abstract delves into the multifaceted ...attributes that make flaxseed an inimitable functional food for the human diet. With its rich history dating back to ancient civilizations, flaxseed has undergone a remarkable resurgence due to its exceptional health benefits. One of the standout features of flaxseed is its remarkable nutritional profile. It is renowned for being an excellent source of alpha-linolenic acid (ALA), a plant-based omega-3 fatty acid crucial for heart health. Furthermore, flaxseed is abundant in dietary fiber, lignans, and various essential vitamins and minerals, making it a versatile ingredient for promoting overall well-being. The advantages of flaxseed for health are numerous. It is known to reduce the risk of chronic diseases, including cardiovascular diseases, diabetes, and certain cancers. Its high fiber content aids in digestive health and weight management. Moreover, the lignans found in flaxseed exhibit powerful antioxidant properties, helping to combat oxidative stress and inflammation. Flaxseed's versatility extends to its culinary applications. It can be easily incorporated into a myriad of dishes, including smoothies, baked goods, and salads, enhancing both flavor and nutrition. In conclusion, flaxseed stands out as an inimitable functional food for the human diet, offering a potent combination of essential nutrients and health-promoting compounds. Incorporating this humble seed into daily nutrition holds the potential to transform health outcomes and contribute to a healthier, more vibrant future for individuals worldwide.
Diabetes mellitus (DM) has prevailed as a chronic health condition and has become a serious global health issue due to its numerous consequences and high prevalence. We have synthesized a series of ...hydrazone derivatives and tested their antidiabetic potential by inhibiting the essential carbohydrate catabolic enzyme, “α‐glucosidase.” Several approaches including fourier transform infrared, 1H NMR, and 13C NMR were utilized to confirm the structures of all the synthesized derivatives. In vitro analysis of compounds 3a–3p displayed more effective inhibitory activities against α‐glucosidase with IC50 in a range of 2.80–29.66 µM as compared with the commercially available inhibitor, acarbose (IC50 = 873.34 ± 1.67 M). Compound 3h showed the highest inhibitory potential with an IC50 value of 2.80 ± 0.03 µM, followed by 3i (IC50 = 4.13 ± 0.06 µM), 3f (IC50 = 5.18 ± 0.10 µM), 3c (IC50 = 5.42 ± 0.11 µM), 3g (IC50 = 6.17 ± 0.15 µM), 3d (IC50 = 6.76 ± 0.20 µM), 3a (IC50 = 9.59 ± 0.14 µM), and 3n (IC50 = 10.01 ± 0.42 µM). Kinetics analysis of the most potent compound 3h revealed a concentration‐dependent form of inhibition by 3h with Ki value = 4.76 ± 0.0068 µM. Additionally, an in silico docking approach was applied to predict the binding patterns of all the compounds, which indicates that the hydrazide and the naphthalene‐ol groups play a vital role in the binding of the compounds with the essential residues (i.e., Glu277 and Gln279) of the α‐glucosidase enzyme.
Synthesis of structurally interesting 3‐hydroxy‐2‐naphthohydrazide‐based hydrazone derivatives was carried out to explore their potential as α‐glucosidase inhibitors. The findings were supported by kinetics and molecular docking to find the active binding sites and mechanism of inhibition.
Objectives: The following article review addresses the ethical and medicolegal challenges surrounding using CBCT in pediatric patients. Data Review: Data collection was done through previously ...published papers for the literature review. The following databases were used to collect the already published articlesfrom GoogleScholar and Pubmed. Conclusion: There is a widespread use of CBCT in pediatric patients for diagnostic and treatment modalities however, the use of CBCT technology involves potential liabilitiesand risks associated with it.
Aim: The need for our study was to compare and analyze canal shaping ability of Wave One files with that of Pro-Taper system files. Methodology: Forty sample teeth were used inserted in a plaster of ...paris rectangular block. In all specimens, the glide path was achieved with PathFile 1, 2, and 3 at the working length (WL). Specimens were then assigned to 1 of 2 groups for shaping: specimens in group 1 were shaped with ProTaper S1-S2 at the WL and specimens in group 2 were shaped with WaveOne Primary reciprocating files at the WL. Analysis of the curvature-radius ratio (CRr) and the relative axis error (rAe), representing canal curvature modification were done. Data were analyzed with one-way balanced analyses of variance at 2 levels (P < .05). Results: The instrument factor was extremely significant for both the CRr parameter (F1 = 9.59, P = .004) and the rAe parameter (F1 = 13.55, P = .001). Conclusion: Canal modifications are reduced when the new WaveOne NiTi single-file system is used.
Tomato is a drought-sensitive crop which has high susceptibility to adverse climatic changes. Dehydration-responsive element-binding (DREB) are significant plant transcription factors that have a ...vital role in regulating plant abiotic stress tolerance by networking with DRE/CRT
-regulatory elements in response to stresses. In this study, bioinformatics analysis was performed to conduct the genome-wide identification and characterization of DREB genes and promoter elements in
. In genome-wide coverage, 58
DREB genes were discovered on 12 chromosomes that justified the criteria of the presence of AP2 domain as conserved motifs. Intron-exon organization and motif analysis showed consistency with phylogenetic analysis and confirmed the absence of the A3 class, thus dividing the
DREB genes into five categories. Gene expansion was observed through tandem duplication and segmental duplication gene events in
DREB genes. Ka/Ks values were calculated in ortholog pairs that indicated divergence time and occurrence of purification selection during the evolutionary period. Synteny analysis demonstrated that 32 out of 58 and 47 out of 58
DREB genes were orthologs to
and
, respectively. Subcellular localization predicted that
DREB genes were present in the nucleus and performed primary functions in DNA binding to regulate the transcriptional processes according to gene ontology. Cis-acting regulatory element analysis revealed the presence of 103 motifs in 2.5-kbp upstream promoter sequences of 58
DREB genes. Five representative
DREB proteins were selected from the resultant DREB subgroups for 3D protein modeling through the Phyre2 server. All models confirmed about 90% residues in the favorable region through Ramachandran plot analysis. Moreover, active catalytic sites and occurrence in disorder regions indicated the structural and functional flexibility of
DREB proteins. Protein association networks through STRING software suggested the potential interactors that belong to different gene families and are involved in regulating similar functional and biological processes. Transcriptome data analysis has revealed that the
DREB gene family is engaged in defense response against drought and heat stress conditions in tomato. Overall, this comprehensive research reveals the identification and characterization of
DREB genes that provide potential knowledge for improving abiotic stress tolerance in tomato.
In this article, we have studied the flow and heat transfer in Sisko fluid with convective boundary condition over a nonisothermal stretching sheet. The flow is influenced by non-linearly stretching ...sheet in the presence of a uniform transverse magnetic field. The partial differential equations governing the problem have been reduced by similarity transformations into the ordinary differential equations. The transformed coupled ordinary differential equations are then solved analytically by using the homotopy analysis method (HAM) and numerically by the shooting method. Effects of different parameters like power-law index n, magnetic parameter M, stretching parameter s, generalized Prandtl number Pr and generalized Biot number γ are presented graphically. It is found that temperature profile increases with the increasing value of M and γ whereas it decreases for Pr. Numerical values of the skin-friction coefficient and local Nusselt number are tabulated at various physical situations. In addition, a comparison between the HAM and exact solutions is also made as a special case and excellent agreement between results enhance a confidence in the HAM results.
Dehydration Responsive Element Binding (DREB) regulates the expression of numerous stress-responsive genes, and hence plays a pivotal role in abiotic stress responses and tolerance in plants. The ...study aimed to develop a complete overview of the cis-acting regulatory elements (CAREs) present in S. tuberosum DREB gene promoters. A total of one hundred and four (104) cis-regulatory elements (CREs) were identified from 2.5kbp upstream of the start codon (ATG). The in-silico promoter analysis revealed variable sets of cis-elements and functional diversity with the predominance of light-responsive (30%), development-related (20%), abiotic stress-responsive (14%), and hormone-responsive (12%) elements in StDREBs. Among them, two light-responsive elements (Box-4 and G-box) were predicted in 64 and 61 StDREB genes, respectively. Two development-related motifs (AAGAA-motif and as-1) were abundant in StDREB gene promoters. Most of the DREB genes contained one or more Myeloblastosis (MYB) and Myelocytometosis (MYC) elements associated with abiotic stress responses. Hormone-responsive element i.e. ABRE was found in 59 out of 66 StDREB genes, which implied their role in dehydration and salinity stress. Moreover, six proteins were chosen corresponding to A1-A6 StDREB subgroups for secondary structure analysis and three-dimensional protein modeling followed by model validation through PROCHECK server by Ramachandran Plot. The predicted models demonstrated >90% of the residues in the favorable region, which further ensured their reliability. The present study also anticipated pocket binding sites and disordered regions (DRs) to gain insights into the structural flexibility and functional annotation of StDREB proteins. The protein association network determined the interaction of six selected StDREB proteins with potato proteins encoded by other gene families such as MYB and NAC, suggesting their similar functional roles in biological and molecular pathways. Overall, our results provide fundamental information for future functional analysis to understand the precise molecular mechanisms of the DREB gene family in S. tuberosum.
The two-dimensional boundary layer flow and heat transfer to Sisko nanofluid over a non-linearly stretching sheet is scrutinized in the concerned study. Our nanofluid model incorporates the ...influences of the thermophoresis and Brownian motion. The convective boundary conditions are taken into account. Implementation of suitable transformations agreeing with the boundary conditions result in reduction of the governing equations of motion, energy and concentration into non-linear ordinary differential equations. These coupled non-linear ordinary differential equations are solved analytically by using the homotopy analysis method (HAM) and numerically by the shooting technique. The effects of the thermophoresis and Brownian motion parameters on the temperature and concentration fields are analyzed and graphically presented. The secured results make it clear that the temperature distribution is an increasing function of the thermophoresis and Brownian motion parameters and concentration distribution increases with the thermophoresis parameter but decreases with the Brownian motion parameter. To see the validity of the present work, we made a comparison with the numerical results as well as previously published work with an outstanding compatibility.
•Predictive Maintenance and machine learning.•Failure Machine Classification Model.•Model Assessment Metrics.
Predictive Maintenance (PdM) in concrete manufacturing, particularly when viewed through ...construction project management, is increasingly recognized for its significance. The potential for PdM to predict structural inadequacies and systematically plan machinery maintenance is essential for seamless construction workflows. The primary focus of this investigation was to utilize the capabilities of machine learning (ML) algorithms to develop and validate sophisticated predictive models. These models aimed to proactively identify maintenance needs, thereby reducing unexpected downtimes and malfunctions in machinery vital to the concrete production cycle. Within this investigation, seven predominant ML classifiers –Logistic Regression (LR), Decision Tree (DT), Artificial Neural Networks (ANN), Light Gradient Boosting Machine (LightGBM), Extreme Gradient Boosting (XGBoost) and Categorical boosting (CatBoost) and Random Forest (RF) – were thoroughly evaluated. Their effectiveness was gauged using several metrics, including the F1-score, Accuracy, Recall, and the area under the Receiver Operating Characteristic (ROC) curve. Notably, the CatBoost surpassed its peers, achieving an F1-score of 0.985, an accuracy of 0.984, a Recall of 0.983, and an ROC curve area of 0.984. Additionally, certain indicators (i.e., 24-hour mean vibration, 24-hour mean pressure, Error3-count, and 24-hour mean volt) were identified as pivotal in predicting machinery failure within the concrete manufacturing framework. Insights from this empirical study further underscore the importance of embedding ML into construction project management methodologies. Insights from this empirical study further emphasize the importance of embedding ML into construction project management methodologies. Such integration enhances the precision of maintenance forecasts and bolsters equipment dependability, ensuring that the concrete manufacturing paradigm is both effective and optimally beneficial.
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