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The article reveals new applications of the four-parameter Mittag-Leffler function (MLF) in geometric function theory (GFT), using fractional calculus notions. The purpose of this study is to propose and explore a new integral operator of order λ using fractional calculus and the four-parameter MLF. The techniques of differential subordination theory are employed in order to derive certain univalence conditions for the newly defined fractional calculus operator involving the Mittag-Leffler function. In the proved theorems and corollaries of the paper, it is specified that the fractional integral operator of the four parameter MLF satisfies the conditions to be starlike and convex. It is also proved that the newly defined operator is a starlike, convex, and close-to-convex function of positive and negative orders, respectively. The geometric properties demonstrated for the fractional integral of the four-parameter MLF show that this function could be a valuable resource for developing the study of geometric functions theory, differential subordination, and superordination theory. [ABSTRACT FROM AUTHOR]

This paper is dedicated to study for the first time the concept of square 2 × 2 fuzzy and anti-fuzzy two-fold matrix with real entries, where we present the two-fold algebraic operations between the these matrices and obtain their special properties such as associativity, commutative properties, and the existing of additive of multiplicative inverses. Also, we provide many examples to explain the two-fold algebraic properties and the two-fold algebraic structure. [ABSTRACT FROM AUTHOR]

The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates accurate power production prediction for effective scheduling and grid management. This paper presents a comprehensive review conducted with reference to a pioneering, comprehensive, and data-driven framework proposed for solar Photovoltaic (PV) power generation prediction. The systematic and integrating framework comprises three main phases carried out by seven main comprehensive modules for addressing numerous practical difficulties of the prediction task: phase I handles the aspects related to data acquisition (module 1) and manipulation (module 2) in preparation for the development of the prediction scheme; phase II tackles the aspects associated with the development of the prediction model (module 3) and the assessment of its accuracy (module 4), including the quantification of the uncertainty (module 5); and phase III evolves towards enhancing the prediction accuracy by incorporating aspects of context change detection (module 6) and incremental learning when new data become available (module 7). This framework adeptly addresses all facets of solar PV power production prediction, bridging existing gaps and offering a comprehensive solution to inherent challenges. By seamlessly integrating these elements, our approach stands as a robust and versatile tool for enhancing the precision of solar PV power prediction in real-world applications. [ABSTRACT FROM AUTHOR]

Sensitivity to ambient air temperatures, consuming a large amount of fuel, and wasting a significant amount of heat dumped into the ambient atmosphere are three major challenges facing gas turbine power plants. This study was conducted to simultaneously solve all three aforementioned GT problems using solar energy and introducing a new configuration that consists of solar preheating and inlet-air-cooling systems. In this study, air was preheated at a combustion chamber inlet using parabolic trough collectors. Then, inlet air to the compressor was cooled by these collectors by operating an absorption cooling cycle. At the design point conditions, this novel proposed integration resulted in a 6.87% relative increase in generated power and a 10.53% relative decrement in fuel consumption, achieving a 19.45% relative increment in the plant's thermal efficiency. This was accompanied by a reduction of 0.026 kg/s, 4.2 kg/s, and 0.278 kg/s in CO2, CO, and NOx emissions, respectively. Finally, spider diagrams were employed to assess the impact of the operating parameters on the overall system's performance and its associated environmental implications. [ABSTRACT FROM AUTHOR]

In this study, using the ideas of subordination and the quantum-difference operator, we established a new subclass S*(δ,σ, q) of q-starlike functions and the subclass S*σ (δ,σ, q) of q-starlike bi-univalent functions associated with the vertical strip domain. We examined sharp bounds for the first two Taylor-Maclaurin coefficients, sharp Fekete-Szegö type problems, and coefficient inequalities for the function h that belong to S*(δ,σ, q), as well as sharp bounds for the inverse function h that belong to S*(δ,σ, q). We also investigated some results for the class of bi-univalent functions S*σ (δ,σ, q) and well-known corollaries were also highlighted to show connections between previous results and the findings of this paper. [ABSTRACT FROM AUTHOR]

In this study, we consider the quantum difference operator to define new subclasses of multivalent q-starlike and q-convex functions associated with the cardioid domain. We investigate a number of interesting problems for functions that belong to these newly defined classes, such as bounds for the first two Taylor-Maclaurin coefficients, estimates for the Fekete-Szego type functional, and coefficient inequalities. The important point of this article is that all the bounds that we have investigated are sharp. Many well-known corollaries are also presented to demonstrate the relationship between prior studies and the results of this article. [ABSTRACT FROM AUTHOR]

Using the concepts of q-fractional calculus operator theory, we first define a (λ , q) -differintegral operator, and we then use m-fold symmetric functions to discover a new family of bi-close-to-convex functions. First, we estimate the general Taylor–Maclaurin coefficient bounds for a newly established class using the Faber polynomial expansion method. In addition, the Faber polynomial method is used to examine the Fekete–Szegö problem and the unpredictable behavior of the initial coefficient bounds of the functions that belong to the newly established class of m-fold symmetric bi-close-to-convex functions. Our key results are both novel and consistent with prior research, so we highlight a few of their important corollaries for a comparison. [ABSTRACT FROM AUTHOR]

In this case report, we describe two difficult intubations in which an endotracheal tube was threaded over a fiberoptic bronchoscope that was acting as a bougie. Our patients initially presented with limited neck extension, narrow mouth opening, and restricted view of the glottic region. A fiberoptic bronchoscope was guided through while the patient was oxygenated through a laryngeal mask. After the scope provided an unrestricted view of the vocal cords, the digital module was removed by cutting the fiberoptic thread, and an endotracheal tube was passed through. After proper confirmation of the endotracheal tube position, the intubation was deemed successful and thereby, we share our experience with the novel technique. This technique may potentially improve critical patient outcomes whether in trauma or an unexpectedly difficult intubation. [ABSTRACT FROM AUTHOR]

This paper aims to propose a new design known as array cyclic (k*, 4)-cycle design. The development of this design is by forming a combination between a cyclic (k1, k2)-cycle system and a near-two-factor that will be constructed. To do so, we need to introduce a new cycle system, namely a (3*, 4)-cycle system. Thereafter, we present an analysis for the case, v ≡ 8, 4 (mod 12). [ABSTRACT FROM AUTHOR]

Background and Objectives: Coronavirus disease-2019 (COVID-19) is an emerging disease threatening the world with a rapid increase in cases and deaths since it was first identified in December 2019. Adequate knowledge, practice, and attitudes (KPA) toward COVID-19 among physicians at the frontline defense against the COVID-19 pandemic may enhance their ability to avoid the risk of self-infection, decrease mortality, and provide adequate medical care service in this pandemic. This study aimed to assess KPA toward COVID-19 among physicians in Jordan and Palestine. Methods: This is a cross-sectional study using an online survey conducted from 10 April to 26 April 2020 among Jordan and Palestine physicians. Invitations were sent to physician groups on Facebook and WhatsApp. This survey contains 36-items, divided into four main sections to assess the participants' socio-demographic characteristics, knowledge, practice, and attitude about COVID-19. Results: A total of 454 physicians participated in this study. The mean score of basic knowledge was 4.4 ± 0.8 (range 2– 4). There were significant differences between basic knowledge mean scores among physicians in different professional degrees and physicians in various health sectors (P=0.0315, P=0.0137, respectively). The mean scores of self-protection measures, were 6.1 ± 1.1 (range 3– 7) and measures if physician self-suspected of COVID-19 were 9.9± 1.1 (range 5– 11). The mean score of attitudes toward COVID-19 was 41.5 ± 3.3 (range 21– 45) and significantly related to the age and different experience years (P=0.0022, P=0.0077, respectively). Conclusion: As the global threat of COVID-19 continues to emerge, physicians from Jordan and Palestine showed adequate KPA toward COVID-19. There was a significant difference in knowledge level and attitude between physicians. Policymakers and physicians should keep continuous educational activities, training, and follow-up updates during this pandemic. [ABSTRACT FROM AUTHOR]