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Impact of Cactus Mucilage Powder as New Natural Hydrocolloid on Physicochemical, Staling Rate and Sensory Characteristics of Gluten-free Egyptian Flat Bread
The growing market for gluten-free (GF) products has encouraged the development of several GF bakery products that aim to mimic the high standards of wheat bakery goods. The objective of this study was to investigate the impact of cactus mucilage powder (CMP) as new natural hydrocolloid on the characteristics of GF flat bread. Wheat flour was replaced by rice flour (RF) as a GF cereal. Different levels of Xanthan gum (XG), CMP or their combination between them were used to investigate their impact on physicochemical properties, alkaline water retention capacity (AWRC), staling rate (SR) and sensory characteristics of the resultant GF flat bread. Results showed that addition of XG or CMP, as natural hydrocolloids, resulted in significant increases in flat bread moisture (P ˂ 0.05). In addition, the crust color of GF flat bread was significantly lighter (L* value) than the control. Increases in AWRC were noticed as a result of XG and CMP addition. On the other hand, low concentrations of XG led to decrease in the staling rate while high concentrations resulted in slight increase in the staling rate. Addition of CMP into flat bread formulas resulted in increases in the staling rate of the investigated samples. Combination of XG with CMP led to reduction in the staling rate of flat bread comparing with CMP only. Furthermore, the ability of different formulae to retain alkaline water decreased as the storage period was increased. All gluten-free formulae containing hydrocolloids received significantly higher (P ˂ 0.05) sensory scores compared to the control
Unveiling ChatGPT's Potential across Biomedicine and Patient Care: From Text to Treatment
Nowadays, cutting-edge Artificial intelligence systems demonstrate exceptional capabilities in comprehending, generating, and manipulate human language, ushering in a new era of understanding, collaboration, and innovation. This systematic review explores the varied applications of ChatGPT within the realm of biomedicine and patient care, aiming to uncover its potential in transforming textual information into actionable insights for improved healthcare outcomes.
To conduct this study, we followed PRISMA guidelines that specifically pertain to systematic reviews by targeting two dataset sources “Google Scholar” and “PubMed” and by using the keywords “Chatgpt, Biomedicine, and Health care”.
According to our literature surveys conducted from January 2021 to January 2024, we introduce ChatGPT, as a powerful language model, implicated in various tasks, such as interpreting medical literature, extracting meaningful patterns from vast datasets, and enhancing communication between healthcare professionals. It also investigates the model's ability to assist in clinical decision-making, generating hypotheses, and facilitating personalized treatment plans. However, the integration of ChatGPT into healthcare frameworks may bridge ethical concerns, and potential obstacles such as data privacy, bias, hallucination, and interpretability, emphasizing the need for responsible implementation to ensure patient safety and data security
Convolutional Block Attention BiLSTM for Arrhythmia Detection
Cardiovascular diseases represent a significant cause of mortality, with millions of electrocardiograms being recorded each year. Therefore, methods of automated diagnosis for electrocardiograms are of particular interest. Since electrocardiograms have recognizable features and are time-dependent, we propose a model using convolutional layers, convolutional attention, and long short-term memory units. The model is trained and validated on the MIT-BIH Arrhythmia database, and achieves an accuracy of 99.10%, a precision of 99.09%, a specificity of 99.64%, a sensitivity of 95.90%, and an F1 score of 97.47%.
ON SOME PROPERTIES OF THE DEGENERATE HYPERBOLIC FUNCTIONS
In this paper, we establish some limit properties of the degenerate hyperbolic functions. Using analytical methods, we obtain some monotonic properties and other properties in the form of inequalities
Numerical Investigation of Turbulent Convection Flow in a Rectangular Closed Cavity
Natural turbulent convection in closed cavities has many practical applications in the field of engineeringsuch as the design of electronic computer chips, atomic installation and industrial cooling among others. Inparticular, it enables in achieving a desired micro-climate and efficient ventilation in a building. Recent studiesshow that turbulent flow is affected by variations in Rayleigh numbers, aspect ratio, and heater positionamong others. Temperature is kept constant in all these studies hence inadequate literature on the effectsof temperature on a turbulent flow. In this study, aspect ratio and Rayleigh numbers are kept constant at2 and 1012 respectively and natural turbulent convection flow in a closed rectangular cavity is investigatednumerically as the operating temperature is varied from 285.5K to 293K. The rectangular cavity’s lower wallwas heated and cooling done at the top face wall while the rest of the vertical walls were kept in adiabaticcondition. Material properties such as density of the fluid kept on changing at any given temperature. Thethermal profile data generated influenced the nature of the turbulent flow. The non-linear averaged continuity,momentum, and energy equation terms were modeled by the SST k − ω model to generate streamlines,isotherms, and velocity magnitude for a different operating temperature and presented graphically. The finitedifference method and FLUENT were used to solve two SST k − ω model equations, vortices, and energy withboundary conditions. It was discovered that, as the operating temperature increased turbulence decreaseddue to a decrease in the velocity of the elements and vortices became more parallel and smaller
Statistical approximation for functions of two variables by Bernstein-Chlodowsky Polynomials on a triangular domain
Statistical approximation of continuous functions of two variables by means of Bernstein-Chlodowsky polynomials on a triangular domain is studied. Further, weighted approximation of continuous functions of two variables on a triangular domain is investigated in statistical sense. Finally, we study the approximation results in terms of ideal convergence
An efficient fourth-order method for direct integration of second-order ordinary differential equations
This paper presents a novel fourth-order block method for the direct integration of second-order differential equations. The method is derived from a basis function that combines a third-order polynomial with the sum of sine and cosine functions. By leveraging this unique basis function, the proposed method maintains computational efficiency while achieving fourth-order accuracy. It outlines the method's derivation and analyzes its stability and accuracy properties. Numerical experiments demonstrate its effectiveness and efficiency compared to existing techniques. The results indicate that the proposed fourth-order block method offers signicant advantages in accuracy and computational cost, making it promising for directly integratin
Examining the Efficiency of Machine Translation in Translating English Idioms used in American Media
The use of idioms permeates the American media, be it movies, series, TV sitcoms, chat shows, radio chats, documentaries and so forth. By definition, idioms are fixed expressions whose meaning cannot be inferred merely from the meanings of the words that compose it. With this in mind, translators face a tremendous challenge when attempting to translate American media to another language, whether that was done through dubbing or via the use of subtitles. Nevertheless, today’s available resources can provide an appreciable assistance regarding such challenges. Among these resources are online machine translation services, particularly the ones that are based on machine learning and artificial intelligence. The central aim of this study was to explore the efficiency of online machine translation services in translating idioms used in American media. To attain this aim, three of the most reliable online machine translation services were examined to determine their level of accuracy concerning idioms translation: Google Translate, DeepL Translator, and Bing Microsoft Translator. The results have indicated that machine translation is capable of translating idioms with an average accuracy rate of 68.7%, with Bing Microsoft Translator being the most accurate. In most cases, the translation is done by paraphrasing. However, Bing Microsoft Translator sometimes opts for using idioms in the target language that are similar in terms of meaning to the ones in the source language, which reveals new horizons for the development of high-tech online machine translation services that would be able to accurately and meaningfully translate cultural-specific lexis such as idioms.
Investigating how cultural differences influence the translation process and the strategies used by translators to bridge cultural gaps
This study investigates the impact of cultural differences on the translation process and the strategies used by translators to bridge these cultural gaps. Through qualitative interviews with professional translators specializing in literature, business, legal, and technical translation, the research identifies key strategies employed to address cultural challenges. These strategies include localization, adaptation, the use of cultural equivalents, annotation, and consultation with cultural informants. The findings reveal that these strategies are effective in maintaining both translation accuracy and cultural relevance. Localization tailors content to the cultural context of the target audience, while adaptation handles idiomatic expressions and culturally specific references. Cultural equivalents preserve the emotional and cultural impact of the source text, and annotations provide necessary explanations for cultural references without direct equivalents. Consultation with cultural informants enhances the accuracy and appropriateness of translations, particularly in specialized fields.
The effectiveness of these strategies is supported by concrete examples from the translators' experiences, demonstrating successful applications across various fields. The study's findings align with established theories in translation studies, such as those proposed by Venuti, Nida, Baker, and House, reinforcing the importance of cultural competence in translation. This research highlights the complex interplay between language and culture in the translation process and underscores the necessity for tailored strategies to address cultural nuances. The study contributes to the theoretical understanding of cultural translation and offers practical recommendations for translators. As global communication continues to expand, the role of culturally competent translators remains vital in facilitating cross-cultural understanding and interaction. Future research should explore the evolving role of technology in translation and its implications for cultural competence.
 
Emerging Pharmaceutical Contaminants- Diclofenac: A Review
Numerous studies on environmental remediation have been focused on water pollution by pharmaceuticals. Diclofenac (DCF) is regarded as an anti-inflammatory drug which is used globally. For more than 10 years now, intensive studies have shown the distribution of diclofenac in various environmental media at different concentrations worldwide. In this case, diclofenac behaviour in different environmental matrices especially soil and water were addressed, giving credence to modem remediation techniques. Toxicity issues as it concerns diclofenac in both soil and water as well as exposure to diclofenac metabolites via consumption and abiotic degradation route has also been discussed. Possible Mechanisms of dikclofenac interactions with other contaminants, ranging from interactions with metals, other inorganic and organic matter, and with other emerging contaminants and diclofenac metabolites have been duly discussed