Tourism and hospitality are at a critical crossroads that offer great economic potential but also pose significant challenges, including market complexity and intense competition. Recognizing ...consumers' pivotal role in achieving service excellence, this study emphasizes the importance to understand how corporate social responsibility (CSR) shapes their behavior, especially concerning brand advocacy behavior (BADB), a critical factor of service excellence. As a primary objective, this study seeks to bridge the existing literature gap on the relationship between CSR and BADB in the hospitality context of a developing country. Furthermore, the research expands its focus on how consumers' emotions and values mediate and moderate their BADB. This includes an examination of two mediating variables: brand admiration (BAD) and consumers' engagement (CENG), and altruistic values (ALVS) as a potential moderator. Through comprehensive data collection via a self‐administered questionnaire from hospitality consumers and the subsequent structural model analysis, the research provides compelling evidence that CSR positively influences BADB. Also, BAD and CENG are established as mediators, and ALVS is confirmed as a moderating factor. The practical implications are far‐reaching, suggesting that CSR efforts in the hospitality sector can significantly shape positive consumer psychology and bolster their advocacy intentions. These findings are vital for decision‐makers and practitioners seeking to improve their consumer engagement strategies and establish a competitive advantage. Further, this study illuminates a path towards a more sustainable and consumer‐centric approach in the hospitality industry.
Polyetheretherketone (PEEK) nanocomposites with multiwalled carbon nanotubes (MWCNTs) as a nanofiller have emerged as a potential alternative in biomedical applications. However, the effective ...dispersion of MWCNTs in PEEK matrices is still challenging due to the low compatibility of the MWCNTs with the polymer phase. This article investigates the effect of two ionic liquids (ILs) at different concentrations on thermomechanical properties of PEEK/MWCNTs composites. MWCNTs are modified with various concentrations (0.5–2 wt%) of ILEMIMAc (1‐ethyl‐3‐methylimidazolium acetate) and ILBMIMHSO4 (1‐butyl‐3‐methylimidazolium hydrogen sulfate), and nanocomposite sheets were prepared by melt‐mixing and thermal pressing methods. Optical and field‐emission scanning electron microscopy micrographs studies confirmed the homogeneous dispersion of IL‐modified MWCNTs in PEEK. Results of nanoindentation and mechanical properties showed the superior mechanical strength of nanocomposites prepared by 1 wt% IL compared to samples prepared without IL. PEEK/MWCNTs nanocomposites containing 1 wt% IL provided 37% higher elastic modulus than that of non‐IL nanocomposites. ILs based PEEK/MWCNTs nanocomposites exhibited maximum degradation temperature. Thermal degradation kinetics of nanocomposites as modelled by the Coats‐Redfern approach indicated the higher activation energy of PEEK/MWCNTs/IL composites. The reported approach for PEEK/MWCNTs nanocomposites fabrication could be potential for promising biomedical applications.
Impact of different ILs on polyetheretherketone/multiwalled carbon nanotubes (PEEK/MWCNTs) nanocomposites is investigated.
The excellent and homogenous dispersion of MWCNTs into PEEK is achieved.
The thermomechanical properties of fabricated PEEK/MWCNTs nanocomposites are enhanced by the well‐separated MWCNTs.
The thermal degradation kinetics study of PEEK/MWCNTs is intensively analyzed.
There are many thyroid diseases affecting people all over the world. Many diseases affect the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid inefficiency can cause ...severe symptoms in patients. Effective classification and machine learning play a significant role in the timely detection of thyroid diseases. This timely classification will indeed affect the timely treatment of the patients. Automatic and precise thyroid nodule detection in ultrasound pictures is critical for reducing effort and radiologists’ mistake rate. Medical images have evolved into one of the most valuable and consistent data sources for machine learning generation. In this paper, various machine learning algorithms like decision tree, random forest algorithm, KNN, and artificial neural networks on the dataset create a comparative analysis to better predict the disease based on parameters established from the dataset. Also, the dataset has been manipulated for accurate prediction for the classification. The classification was performed on both the sampled and unsampled datasets for better comparison of the dataset. After dataset manipulation, we obtained the highest accuracy for the random forest algorithm, equal to 94.8% accuracy and 91% specificity.
Some rhizobacteria have demonstrated a noteworthy role in regulation of plant growth and biomass production under biotic and abiotic stresses. The present study was intended to explicate the ...ameliorative consequences of halotolerant plant growth-promoting rhizobacteria (HPGPR) on growth of capsicum plants subjected to salt stress. Salt stress was ascertained by supplementing 1 and 2 g NaCl kg
−1
soil. The HPGPR positively invigorated growth attributes, chlorophyll, protein contents, and water use efficiency (WUE) of supplemented capsicum plants under salinity stress conditions.
Bacillus fortis
strain SSB21 caused highest significant increase in shoot length, root length, and fresh and dry biomass production of capsicum plants grown under saline conditions. This multi-trait bacterium also increased biosynthesis of proline and up-regulated the expression profiles of stress related genes including CAPIP2, CaKR1, CaOSM1, and CAChi2. On the other hand,
B. fortis
strain SSB21 inoculated plants exhibited reduced level of ethylene, lipid peroxidation, and reactive oxygen species (ROS). All these together contribute to activate physiological and biochemical processes involved in the mitigation of the salinity induced stress in capsicum plants.
Current study was performed to explore the effect of butanolide (KAR1) in mitigation of cadmium (Cd) induced toxicity in Brussels sprout (Brassica oleracea L.). Brussels sprout seeds, treated with ...10−5 M, 10−7 M and 10−10 M solution of KAR1 were allowed to grow in Cd-contaminated (5 mg L-1) regimes for 25 d. Cadmium toxicity decreased seed germination and growth in B. oleracea seedlings. Elevated intensity of electrolyte leakage (EL), malondialdehyde (MDA) and hydrogen peroxide (H2O2) were observed in Cd-stressed seedlings. Additionally, reduced level of stomatal conductivity, transpiration rate, photosynthesis rate, intercellular carbon dioxide concentration, and leaf relative water content (LRWC) was also observed in Cd-stressed seedlings. Nevertheless, KAR1 improved seed germination, seedling growth and biomass production in Cd stressed plants. KAR1 application showed elevated LRWC, osmotic potential, and higher membranous stability index (MSI) in seedlings under Cd regime. Furthermore, seedlings developed by KAR1 treatment exhibited higher stomatal conductivity, and intercellular carbon dioxide concentration together with improved rate of transpiration and photosynthetic rate in B. oleracea under Cd stress. These findings elucidate that the reduced level of MDA, EL and H2O2, as well as improvement in antioxidative machinery increased growth and alleviated Cd toxicity in KAR1 treated seedlings under Cd stress.
•Cd toxicity reduced photosynthesis and growth of Brassica oleracea.•Application KAR1 upgraded activities of antioxidant enzymes and decreased Cd contents in plants.•KAR1 improved growth of Cd stressed plants.
The incorporation of multiwalled carbon nanotubes (MWCNT) into polyetheretherketone (PEEK) composites has emerged as a promising strategy for enhancing the thermomechanical characteristics of PEEK ...composite materials. This study investigates the thermal behavior and kinetics prediction of PEEK/MWCNT composites comprising different ionic liquids (ILs), namely 1‐butyl‐3‐methylimidazolium hydrogen sulfate (BMIMHSO4), 1‐butyl‐3‐methylimidazolium acetate (BMIMAc), 1‐ethyl‐3‐methylimidazolium acetate (EMIMAc) and 1‐ethyl‐3‐methylimidazolium hydrogen sulfate (EMIMHSO4). Three non‐isothermal methods Coats‐Redfern, Broido, and Horowitz‐Metzger, were employed to model the thermal decomposition profiles of fabricated composites to calculate the activation energy. The highest decomposition temperature (580°C) was obtained for BMIMHSO4‐based PEEK/MWCNT composites. Moreover, a 3%–8% increase in the activation energy was obtained compared to PEEK/MWCNT manufactured without ILs. The Coats‐Redfern model was superior to Broido and Horowitz‐Metzger models in modeling the thermal degradation of developed composites, as evidenced from the higher value of the coefficient of determination (R2 ≥ 0.9899). By determining the Root Mean Square Error (RMSE) and R2 for the thermal degradation kinetics data, the artificial neural network (ANN) model was employed. The ANN model accurately predicted the mass loss curves, exhibiting R2 ≥ 0.9815 for the designed model. These findings can assist in establishing an IL‐assisted benign approach for PEEK/MWCNT/IL composites with superior thermal characteristics.
Reinforcement of PEEK by nanoparticles such as multiwalled carbon nanotubes (MWCNTs), is a promising technique to prepare PEEK nanocomposites with improved properties for promising biomedical ...applications. However, proper dispersion of MWCNTs in the polymer matrices is a primary processing challenge. The present study reports a novel and environmentally beneficial approach for homogeneous dispersion of MWCNT in PEEK by using ionic liquid (IL) 1‐ethyl‐3‐methylimidazolium hydrogen sulfate (EMIMHSO4). Neat PEEK, PEEK‐MWCNTs (using conventional organic solvent dimethylformamide), and PEEK‐MWCNTs‐IL (using EMIMHSO4) nanocomposites were fabricated via melt‐compounding and compression molding techniques. The fabricated composites were characterized for morphological, thermal, and mechanical properties and compared to those of neat PEEK and PEEK‐MWCNTs. Ionic liquid provoked proficient dispersion of the MWCNTs in PEEK, as confirmed by FESEM and optical micrographs. The thermal stability of PEEK‐MWCNTs‐IL composite was significantly superior to that of the neat PEEK and PEEK‐MWCNTs. Analysis of tensile strength and nanoindentation depicted that the modulus of elasticity of PEEK‐MWNCTs‐IL was significantly increased by 76% as compared to that of neat PEEK. We believe that the present work could provide a new and green platform for the manufacturing of PEEK nanocomposites with enhanced dispersion of nanofillers for biomedical applications.
The current study considered the climate extreme index (
CEI
) values originated from extreme environmental events (EEEs) by following the National Oceanic and Atmospheric Administration (NOAA) ...guidelines. The EEEs were fractionated into six sub-categories (i.e., high temperature, low temperature, high precipitation, low precipitation, drought, and wind), and the combined impact of
CEIs
was utilized to develop an algorithm for the estimation of the phenology sensitivity index (
P
Si
). Finally, the
CEIs
, and the
P
Si
were undergone the development of the phenology forcing (
P
F
) model. The developed model showed a high sensitivity at the
CEI
value of as low as ≥1.0. Furthermore, the uncertainty index varied between 0.03 and 0.07, making a parabolic curvature at increasing
CEIs
(1.0–15.0). The current study precisely estimates the tendency of EEEs for phenology change. It will assist in policy-making and planning crop cultivation plans for achieving sustainable development goal 2 (SDG2) of the Food and Agriculture Organization (FAO).
Different countries of the world are facing a serious pandemic of corona virus disease (COVID‐19). One of the most typical treatments for COVID‐19 is social distancing, which includes lockdown; it ...will help to decrease the number of contacts for undiagnosed individuals. The main aim of this article is to construct and evaluate a fractional‐order COVID‐19 epidemic model with quarantine and social distancing. Laplace homotopy analysis method is used for a system of fractional differential equation (FDEs) with Caputo and Atangana–Baleanu–Caputo (ABC) fractional derivative. By applying the ABC and Caputo derivative, the numerical solution for fractional‐order COVID‐19 epidemic model is achieved. The uniqueness and existence of the solution is checked by Picard–Lindelof's method. The proposed fractional model is demonstrated by numerical simulation which is useful for the government to control the spread of disease in a practical way.
In recent year, the world has witnessed the arrival of deadly diseases like cancer over all the global levels. To fight back this disease or control the spread, mankind relies on modeling and ...medicine to control, cure, and behavior of the cancer diseases. We developed the fractional‐order immunotherapy bladder cancer model and used the BCG vaccine for treatment by using the Caputo fractional derivative operator φɛ(0,1. A mathematical model has four variables B,E, Ti, Tu which represent the vaccine for the immune system, effector cells, total population of affected, and unaffected cells, respectively. In this model, we have two cases according to the growth rate of cells. The fractional‐order system is stable in both cases and gives the solution infeasible region for uniqueness, positivity, and boundedness to illustrate the treatment of cancer. The effect of fractional parameter on our obtained solutions is presented, and a comparison is made with the classical ordinary derivative operator. It is worthy to observe that fractional derivatives show significant changes and memory effects as compared with ordinary derivatives to control the disease at the initial stage to overcome the risk of living with cancer.
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