Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Microstrip-to-ESIW Transition With Elliptical Dielectric Taper in Ku- and Ka-Bands

Empty Substrate Integrated Waveguide (ESIW) technology preserves the many advantages of the Substrate Integrated Waveguide (SIW) such as low cost, low profile, and easy integration with Printed Circuit Boards (PCBs). Moreover, it has additional advantages due to the avoidance of dielectric filling: lower insertion losses and resonators with higher quality factor. In order to connect the ESIW line to classical planar lines, the design of transitions becomes specially important. Due to this, some microstrip-to-ESIW transitions have been published in recent years. Problems of these transitions are usually the complexity of the manufacturing process or increased radiation losses. Knowing the aforementioned disadvantages of the published solutions, in this paper, the transition with an expanded ESIW section has been improved, by adding an easy-to-manufacture dielectric taper that minimizes the undesired radiation losses. Additionally, the new proposed transition can be mechanized easier than previous solutions based on sharp tapers. Moreover, the slight overlap between the microstrip line and the upper ESIW metal cover has been avoided, thus enhancing the return losses of the proposed transition. To validate the proposed transition, two back-to-back prototypes have been manufactured both in Ku- and Ka-band, obtaining insertion losses lower than 0.31 dB and return losses higher than 20.8 dB in Ku-band, and insertion losses lower than 1.36 dB and return losses higher than 14.75 dB in Ka-band.
Interactions between Macrophages and Mast Cells in the Female Reproductive System

Mast cells (MCs) and macrophages (Mϕs) are innate immune cells that differentiate from early common myeloid precursors and reside in all body tissues. MCs have a unique capacity to neutralize/degrade toxic proteins, and they are hypothesized as being able to adopt two alternative polarization profiles, similar to Mϕs, with distinct or even opposite roles. Mϕs are very plastic phagocytic cells that are devoted to the elimination of senescent/anomalous endogenous entities (to maintain tissue homeostasis), and to the recognition and elimination of exogenous threats. They can adopt several functional phenotypes in response to microenvironmental cues, whose extreme profiles are the inflammatory/killing phenotype (M1) and the anti-inflammatory/healing phenotype (M2). The concomitant and abundant presence of these two cell types and the partial overlap of their defensive and homeostatic functions leads to the hypothesis that their crosstalk is necessary for the optimal coordination of their functions, both under physiological and pathological conditions. This review will examine the relationship between MCs and Mϕs in some situations of homeostatic regulation (menstrual cycle, embryo implantation), and in some inflammatory conditions in the same organs (endometriosis, preeclampsia), in order to appreciate the importance of their cross-regulation.
Motor-generátor s axiálním tokem pro hybridní autobus

This thesis deals with a design of a novel Axial-Flux Permanent Magnet Motor-Generator for a hybrid electric bus application. Thus, the design specification represents a set of requirements, which leads toward a concept of a unique topology meeting performance, efficiency and dimensional targets. The particular topology of the Axial Flux Permanent Magnet Motor-Generator discussed in this work is an outcome of deep literature survey, followed by the concept selection stage with the layout of the machine as an outcome of these processes. The design approach behind this so-called Spoke Axial Flux Machine follows an idea of “multiphysics” iterations, including electromagnetic, thermal, mechanical, and controls design. Such a process behind the eventually proposed design ensured a right balance in between all of these engineering disciplines. A set of bespoke design and analysis tools was developed for that reason, and was backed up by extensive use of Finite-Element Analysis and Computational Fluid Dynamics. Therefore, the actual machine design gained higher level of confidence and fidelity. Modelling of the machine and its drive provided understanding of performance and efficiency of the whole subsystem at various operational conditions. Moreover, it has illustrated an optimization potential for the controls design, so that efficiency of the machine and power electronics might be maximized. Several prototypes of this machine have been built and passed though extensive testing both on the subsystem and system level. Actual test results are discussed, and compared to analytical predictions in terms of the machine’s parameters. As a lesson learned from the first prototype of this machine, a set of redesign proposals aiming for simplification of manufacturing and assembly processes, are introduced. This work records steps behind all phases of development of the Axial Flux Machine from a basic idea as an outcome of concept selection stage, up to testing and wrap-up of experience gained from the first generation of the machine.
Antimicrobial Activity of Green Silver Nanoparticles Synthesized by Different Extracts from the Leaves of Saudi Palm Tree (Phoenix Dactylifera L.)

The Arabian desert is rich in different species of medicinal plants, which approved variable antimicrobial activities. Phoenix dactylifera L. is one of the medical trees rich in phenolic acids and flavonoids. The current study aimed to assess the antibacterial and antifungal properties of the silver nanoparticles (AgNPs) green-synthesized by two preparations (ethanolic and water extracts) from palm leaves. The characteristics of the produced AgNPs were tested by UV-visible spectroscopy and Transmitted Electron Microscopy (TEM). The antifungal activity of Phoenix dactylifera L. was tested against different species of Candida. Moreover, its antibacterial activity was evaluated against two Gram-positive and two Gram-negative strains. The results showed that AgNPs had a spherical larger shape than the crude extracts. AgNPs, from both preparations, had significant antimicrobial effects. The water extract had slightly higher antimicrobial activity than the ethanolic extract, as it induced more inhibitory effects against all species. That suggests the possible use of palm leaf extracts against different pathogenic bacteria and fungi instead of chemical compounds, which had economic and health benefits.
Teachers’ Reflection of Students’ Engagement in Online Language Learning: Multi-case Study

Learning engagement is one of the most important issues facing online learning, which has many distractions beyond the teacher’s control and management. This study examined teachers’ observations of their students’ engagement in online learning and their efforts to engage them. Teachers can evaluate different factors and conditions that affect students’ perceptions, engagement, motivation, and achievement. Language learning is influenced by several factors, such as teachers’ rapport and interaction with their students, students’ interaction and collaboration, and their engagement with social activities in learning situations. This qualitative multi-case study collected data from five language teachers by semi-structured interviews, teachers’ self-reports, and observational notes about their experiences of students’ engagement in their online lessons. It lasted for 15 teaching weeks in a Saudi intermediate school during the second semester of 2020-2021. The thematic analysis results in four main categories; (a) teachers’ challenges, (b) students’ responsibilities, (c) environment and system, and (d) attitude and excuses. These categories are built on 11 themes that provide insights into the factors, challenges, and threats, which influence learning engagement in online courses for teachers and students. The study recommends some techniques to maintain the learning engagement and provides some suggestions for future research.
Diagnosis from Tissue: Histology and Identification

The diagnosis and initiation of appropriate treatment against invasive fungal infections depend upon accurate identification of pathogens by pathologists and clinical microbiologists. Histopathology is often critical in providing diagnostic insight in patients with suspected fungal infections, and such findings are incorporated into the definitions of proven or probable disease caused by certain pathogens. Such examinations can offer provisional identifications of fungal organisms, which can help guide initial therapy while laboratory results are pending. Common etiologic agents of invasive mycoses may be recognized based on morphologic characteristics observed in tissue and biologic fluids, such as those obtained from bronchoalveolar lavage and bronchial washings. However, care should be taken in the interpretation of these findings, as there may be a false sense of the ability to correctly categorize fungal organisms to the genus or species level by morphologic features alone. Studies have demonstrated discordant results between histopathology and laboratory results due to overlapping morphologic features, morphologic mimics, and sampling errors. Thus, histopathology plays an integral role in providing a differential of potential fungal pathogens but must be combined with results from laboratory studies, including cultures, antigen tests, serology, and molecular assays, in order to improve accuracy in the identification of etiologic agents of fungal infections. Inaccurate identification of the infecting organism can lead to inappropriate antifungal therapy and possibly poor clinical outcomes.
The complete chloroplast genome of Iris speculatrix Hance, a rare and endangered plant native to Hong Kong

Abstract Iris speculatrix is a rare and endangered plant first discovered in and native to Hong Kong. The whole chloroplast genome of I. speculatrix is 152,368 bp in length. It contained a large single copy region (82,003 bp), a small single copy region (17,941 bp), and two inverted repeats (26,212 bp). Phylogenetic analysis of 17 species of Iridaceae was conducted. I. speculatrix was found to be sister to a group of 12 Iris species, including I. setosa, I. lacteal, and I. uniflora. The sequenced chloroplast whole genome would be useful to understand the phylogeny and to conservation of I. speculatrix.
Financial and Geographic Barriers to Health Care Access in Kenya: The Quest towards Universal Health Coverage

The Quest towards Abstract Background : Access to health care services without being plunged into financial hardship is a life blood of the Universal Health Coverage. Kenya’s health sector is heavily dependent on out of pocket health expenditure. This model of health financing is inequitable and leads to underutilization of the much needed health care services. Majority of Kenyans travel for longer distances to access health care services. The geographic access barrier is linked to delayed care, missed appointments, delayed medication and undue loss of life. This study examines the correlates of financial and geographic health care access barriers in the UHC implementing Counties in Kenya. Methodology : The study used a cross-sectional data collected from 249 respondents using exit interviews at the health facilities drawn from the Kenya Master Health Facility List (KMHL). A multivariate log it regression model was used to analyze the predictors of probability of failure to access health care services owing to prohibitive health care and transport costs. Results: High out-of-pocket monthly expenditure on medicine; wider proximity, higher transportation cost and a longer traveling time to a health facility increases the probability of not seeking medical treatment owing to prohibitive health care and transportation costs. These factors thus, acts as key barriers to health care access. Conclusion : Financial and geographic access barriers negatively impact on health care access. To hasten the realization of the Universal Health Coverage, prepayment models such as use of taxes and insurance should be pursued.
Testing the validity of the BARS curve for Turkey

This study has two main aims: to test the validity of the BARS curve in Turkey for the period 1974-2016 and to estimate the optimal government size for that period and compare it with the current situation. It uses the Autoregressive Distributed Lag bounds test and quadratic equation methods. The empirical findings of the study confirm the validity of the BARS curve by providing strong evidence for the existence of an inverted U-shaped long-run relationship between government size and economic growth. Unlike many previous studies that use a single proxy measure for government size, this study uses all available fundamental indicators and their sub-components. The empirical results show that for the period studied all proxy measures of government size exceed the optimal except for total central government budget expenditure and defence expenditure. Therefore, decreasing the size of the government, other than for these two indicators, will increase economic growth in the long run.
Study of long-period correction of seismic accelerogram for dynamic interaction analysis

Due to long-period errors, the baseline offsets of the integrated displacement data, by the double integral of acceleration history, are still very large, though the baseline of the seismic accelerogram has already been corrected. New simple time-domain measures for long-period correction of seismograms are presented based on the least-square curve fitting method, which can effectively improve the integral property of acceleration data with little change in the content of the spectrum characteristics and engineering dynamic properties for dynamic interaction analysis. Practical applications reveal its efficiency and show that seismic wave input mechanism has great effects on the total response analysis of large-scale structure-foundation dynamic interaction system subjected to multi-input or traveling seismic excitations.
Robust optimal proportional reinsurance and investment problem for an insurer with delay and dependent risks

Abstract In this article, we consider a robust optimal proportional reinsurance and investment problem in a model with delay and dependent risks, in which the insurer’s surplus process is assumed to follow a risk model with two dependent classes of insurance business. The insurer is allowed to purchase proportional reinsurance and invest his surplus in a financial market, which contains one risk-free asset and one risky asset whose price process satisfies a jump-diffusion model. Under the consideration of the performance-related capital inflow or outflow, the insurer’s wealth process is modeled by a stochastic differential delay equation. The insurer’s aim is to develop the robust optimal reinsurance and investment strategy for the insurer by maximizing the expected exponential utility of the combination of the average historical performance and terminal wealth under the worst-case scenario of the alternative measures. By adopting the stochastic dynamic programming technique, the expressions of the robust optimal strategy and value function are explicitly obtained. Finally, we present some numerical examples to illustrate the effects of some model parameters on the optimal strategy.
Examining the Regional Co‐Variability of the Atmospheric Water and Energy Imbalances in Different Model Configurations—Linking Clouds and Circulation

Clouds are a key player in the global climate system, affecting the atmospheric water and energy budgets, and they are strongly coupled to the large‐scale atmospheric circulation. Here, we examine the co‐variability of the atmospheric energy and water budget imbalances in three different global model configurations–radiative‐convective equilibrium, aqua‐planet, and global simulations with land. The gradual increase in the level of complexity of the model configuration enables an investigation of the effects of rotation, meridional temperature gradient, land‐sea contrast, and seasonal cycle on the co‐variability of the water and energy imbalances. We demonstrate how this co‐variability is linked to both the large‐scale tropical atmospheric circulation and to cloud properties. Hence, we propose a co‐variability‐based framework that connects cloud properties to the large‐scale tropical circulation and climate system and is directly linked to the top‐down constrains on the system—the water and energy budgets. In addition, we examine how the water and energy budget imbalances co‐variability depends on the temporal averaging scale, and explain its dependency on how stationary the circulation is in the different model configurations. Finally, we demonstrate the effect of an idealized global warming and convective aggregation on this co‐variability.
Online Teaching Quality Evaluation of Business Statistics Course Utilizing Fermatean Fuzzy Analytical Hierarchy Process with Aggregation Operator

Due to the full-scale outbreak of COVID-19, many universities have adopted the way of online teaching to ensure the orderly development of teaching plans and teaching contents. However, whether online and offline teaching can develop homogeneously and how to ensure the teaching effect is a major challenge for colleges and universities. Therefore, it is urgent to construct a reasonable index system and evaluation approach for the quality of network teaching. Combined with the influencing factors and characteristics of online teaching, this study first puts forward a multi-index evaluation index system and then proposes a novel evaluation method for online teaching based on the analytical hierarchy process (AHP) and Dombi weighted partitioned Muirhead Mean (PMM) operator under Fermatean fuzzy (FF) environment. This presented method not only adapts to changeable evaluation information but also handles the elusive interrelationships among indexes, realizing the flexibility and comprehensiveness both in form and in the polyaddition process. The applicability and feasibility of this presented method are then discussed through the practical online teaching quality evaluation of a business statistics course case, and a group of tentative about the sensitivity analysis and comparative analysis further demonstrates the effectiveness and flexibility of the proposed method.
A workplace-driven model on the formation of OCB-C: perspectives of social exchange theory and agency theory

Purpose Different from the previous organizational citizenship behavior (OCB) literature, this study aims to propose an OCB-O (organizational citizenship behavior toward organizations) and OCB-I (organizational citizenship behavior toward individual coworkers) driven mechanism for the formation of OCB-C (organizational citizenship behavior toward customers). Based on the social exchange and agency theories, the authors propose that perceived leadership support and work autonomy contribute to both OCB-I and OCB-O, which contributes to proactive and reactive customer service attitude as well as OCB-C. Design/methodology/approach A three-wave survey was conducted in five-star hotels in Mainland China, and a sample of 410 hotel frontline employees was used to test the model. Findings Findings of the study suggested that perceived leadership support positively led to OCB-O and OCB-I while work autonomy led to OCB-I, demonstrating the importance of employees’ perceived leadership support on motivating employees to perform OCB-I and OCB-O. OCB-I and OCB-O directly improved OCB-C, confirming the proposed spillover effect from OCB-I and OCB-O to OCB-C. OCB-I supported both proactive and reactive customer service attitudes, revealing OCB-I as more effective than OCB-O on influencing employees’ service attitudes. Furthermore, OCB-I, OCB-O and proactive customer service attitude lead to OCB-C. Practical implications This study suggests that it is important for leaders to show care and support to employees and design jobs with a certain level of flexibility, so that employees are motivated to go the extra mile to do a good job. When employees make helping others a habit, they will provide more genuine care to customers and do a better job in serving customers. Originality/value This study supports the spillover mechanism of OCB-I and OCB-O on OCB-C. Specifically, the spillover mechanism starts from a workplace-driven model with employees’ perceived leadership support and work autonomy to enhance OCB-O as well as OCB-I. Then, spillover effects stem directly from OCB-I and OCB-O to OCB-C and indirectly to proactive customer service attitude.
Application Of Decision Tree Approach To Student Selection Model- A Case Study

The main purpose of the institution is to provide quality education to the students and to improve the quality of managerial decisions. One of the ways to improve the quality of students is to arrange the selection of new students with a more selective. This research takes the case in the selection of new students at Islamic University of Indonesia, Yogyakarta, Indonesia. One of the university's selection is through filtering administrative selection based on the records of prospective students at the high school without paper testing. Currently, that kind of selection does not yet has a standard model and criteria. Selection is only done by comparing candidate application file, so the subjectivity of assessment is very possible to happen because of the lack standard criteria that can differentiate the quality of students from one another. By applying data mining techniques classification, can be built a model selection for new students which includes criteria to certain standards such as the area of origin, the status of the school, the average value and so on. These criteria are determined by using rules that appear based on the classification of the academic achievement (GPA) of the students in previous years who entered the university through the same way. The decision tree method with C4.5 algorithm is used here. The results show that students are given priority for admission is that meet the following criteria: came from the island of Java, public school, majoring in science, an average value above 75, and have at least one achievement during their study in high school.
Adaptive Containment Control for Fractional-Order Nonlinear Multi-Agent Systems With Time-Varying Parameters

This paper investigates adaptive containment control for a class of fractional-order multi-agent systems (FOMASs) with time-varying parameters and disturbances. By using the bounded estimation method, the difficulty generated by the time-varying parameters and disturbances is overcome. The command filter is introduced to solve the complexity problem inherent in adaptive backstepping control. Meanwhile, in order to eliminate the effect of filter errors, a novel distributed error compensating scheme is constructed, in which only the local information from the neighbor agents is utilized. Then, a distributed adaptive containment control scheme for FOMASs is developed based on backstepping to guarantee that the outputs of all the followers are steered to the convex hull spanned by the leaders. Based on the extension of Barbalat's lemma to fractional-order integrals, it can be proven that the containment errors and the compensating signals have asymptotic convergence. Finally, three simulation examples are given to show the feasibility and effectiveness of the proposed control method.
Non-Classical Quadrature Schemes for the Approximation of Cauchy Type
Oscillatory and Singular Integrals in Complex Plane

In this paper, non-classical numerical schemes are proposed for the approximation of Cauchy type oscillatory and strongly singular integrals in complex plane. The schemes are developed by incorporating classical quadrature rule meant for the Cauchy type complex singular integrals over a line segment in complex plane with a quasi exact quadrature method meant for the numerical integration of complex definite integrals with an oscillatory weight function. The error bounds are established and the schemes are numerically validated using a set of standard test integrals. Numerical results show that these schemes are efficient.