Miracle-dz/UniFAR-FTUs huggingface dataset:
Marketing the Museum

Marketing the Museum is the ideal guide to the ways in which museums can overcome the numerous hurdles on the route to truly achieving a marketing orientation. The history of the museum is one of shifting purposes and changing ideals and this volume asks if it is possible to define the 'product' which the modern museum can offer. This book explores the crucial question: Are the theories of marketing developed for manufactured goods in any way relevant to the experience of visiting a museum? In covering one of the most highly disputed issues in the field, this book is essential reading for museum professionals, students and anyone who has dealing in the many branches of the heritage industry around the world.
Health care payment practice, perception and awareness of national health insurance scheme by market women in Enugu Metropolis South-East Nigeria

Introduction health insurance is in the fore front of health financing and achievement of universal health coverage for all. It provides a means of coping with some of the risks faced by individuals in achieving optimal healthcare. Women are vital in the family especially when it comes to the health of their children. We therefore set out in this study to assess the healthcare payment method of women in the informal sector and their awareness of the National health insurance scheme (NHIS) in Nigeria. Methods the study was a cross sectional descriptive survey involving women traders who were aged 18 years and above. Three hundred and fifty-three (353) womens were recruited using semi-structured interviewer questionnaire and data was analyzed using SPSS version 22. Results the prevalence of awareness of NHIS among the women was 57.5% and educational status was contributor to awareness of the scheme. Also, only 9.9% of the women were registered under the NHIS and out of pocket payment for healthcare was practiced by as much as 88.7% of the respondents. Most respondents had poor perception about the scheme with 60% believing that the government cannot be trusted to keep its end of the bargain with regards to the NHIS. Conclusion the need for awareness of the NHIS especially in the informal sector for women is brought to fore. The policy -makers should take into account how women in informal sectors should be captured to enrol in the NHIS in order to expand its coverage and this enrolment should be compulsory.
Evaluation of production control strategies for the co-ordination of work-authorisations and inventory management in lean supply chains

A decision support framework is proposed for assisting managers and executives to possibly utilise lean production control strategies to coordinate work authorisations and inventory management in supply chains. The framework allows decision makers to evaluate and compare the suitability of various strategies to their system especially when considering conflicting objectives, such as maximising customer service levels while minimising Work in Process (WIP) in a business environment distressed by variabilities and uncertainties in demand stemmed from customer power. Also, the framework provides decision guidance in selecting and testing optimal solutions of selected policies control parameters. The framework is demonstrated by application to a four-node serial supply-chain operating under three different pull-based supply chain strategies; namely CONWIP, Kanban, and Hybrid Kanban-CONWIP and exhibiting low, medium, and high variability in customer demand (i.e., coefficient of variation of 25%, 112.5%, and 200%). The framework consists of three phases; namely Modelling, Optimisation and Decision Support; and is applicable to both Simulation-Based and Metamodel-Based Optimisation. The Modelling phase includes conceptual modelling, discrete event simulation modelling and metamodels development. The Optimisation phase requires the application of multi-criteria optimisation methods to generate WIP-Service Level trade-off curves. The Curvature and Risk Analysis of the trade-off curves are utilised in the Decision Support phase to provide guidance to the decision maker in selecting and testing the best settings for the control parameters of the system. The inflection point of the curvature function indicates the point at which further increases in Service Level are only achievable by incurring an unacceptably higher cost in terms of average WIP. Risk analysis quantifies the risk associated with designing a supply chain system under specific environmental parameters. This research contributes an efficient framework that is applicable to solve real supply chain problems and better understanding of the potential impacts and expected effectiveness of different pull control mechanisms, and offers valuable insights on future research opportunities in this field to production and supply chain managers.
Preferences for environmental quality under uncertainty and the value of precision nitrogen application

Nitrogen fertilizer is intensively used in crop agriculture in the United Sta tes, nd many researchers embrace the goal of improving nitrogen-use efficiency —that is, increasing the proportion of nitrogen fertilizer that is actually used by the crop. This goa l can be achieved by applying nitrogen fertilizer to match plant needs as they vary o e both time and space. Several different precision agriculture systems have been designe d to address this variability of nitrogen needs. Among these innovations are two whole-field sy stems that use midseason normalized difference vegetation index (NDVI) measures f rom growing winter wheat to predict the amount of nitrogen the plants require to reach t h ir plateau yield. The nitrogen fertilizer optimization algorithm (NFOA) use s NDVI data from a nitrogen-rich strip and a check strip in the same field to determine the rate at which the crop will cease to be responsive to nitrogen. The ramped strip system appl ies incrementally increasing nitrogen rates in a strip of plots just after planting, and then collects midseason NDVI readings to determine the rate at which crop respo ns ceases. This paper is comprised of two sub-papers, the first of which uses datasets from actual ramped strips from on-farm trials. The data used are the outputs fro m the program
Computational simulations reveal that Abl activity controls cohesiveness of actin networks in growth cones

Extensive studies of growing axons have revealed many individual components and protein interactions that guide neuronal morphogenesis. Despite this, however, we lack any clear picture of the emergent mechanism by which this nanometer-scale biochemistry generates the multi-micron scale morphology and cell biology of axon growth and guidance in vivo. To address this, we studied the downstream effects of the Abl signaling pathway using a computer simulation software (MEDYAN) that accounts for mechanochemical dynamics of active polymers. Previous studies implicate two Abl effectors, Arp2/3 and Enabled, in Abl-dependent axon guidance decisions. We now find that Abl alters actin architecture primarily by activating Arp2/3, while Enabled plays a more limited role. Our simulations show that simulations mimicking modest levels of Abl activity bear striking similarity to actin profiles obtained experimentally from live-imaging of actin in wild type axons in vivo. Using a graph-theoretical filament-filament contact analysis, moreover, we find that networks mimicking hyperactivity of Abl (enhanced Arp2/3) are fragmented into smaller domains of actin that interact weakly with each other, consistent with the pattern of actin fragmentation observed upon Abl overexpression in vivo. Two perturbative simulations further confirm that high Arp2/3 actin networks are mechanically disconnected and fail to mount a cohesive response to perturbation. Taken together, these data provide a molecular-level picture of how the large-scale organization of the axonal cytoskeleton arises from the biophysics of actin networks. Highlight summary How do single-molecule dynamics produce multi-micron scale changes in actin organization in an extending axon? Comparison of computational simulations to in vivo data suggests that Abl kinase and Arp2/3 expand actomyosin networks by fragmenting into multiple domains, thus toggling the axon between states of local vs global internal connectivity.
The Impact of Electronic Word of Mouth on Tourists Visit Intention to Saudi Arabia: Argument Quality and Source Credibility as Mediators

relationship between e-WOM and tourist visit intentions. As e-WOM in the form of comments, reviews, opinions, suggestions and recommendation are largely available in the online space, it has been found crucial to investigate the quality and credibility of such information. Elaboration Likelihood Model has been used to build the research model or framework. The study findings suggest the mediating role of source credibility and argument quality in the relationship between e-WOM and tourist visit intention. The study reveals that traveler seeks highly credible sources and information quality before deciding on any travel related products and services. The mediating role of source credibility and argument quality from ELM theory has been investigated from domestic tourism perspective.
Surrogate Distraction Measurement Techniques: The Lane Change Test

More and more technologies such as telephones, navigation systems, and entertainment systems are becoming available for use in passenger cars. This development inevitably forces automobile manufacturers, after-sales equipment providers, and also authorities to consider the unwanted potential of such systems to distract drivers from the primary task of driving. Methods suggested to investigate this question range from simple laboratory tests to extensive on-road studies, each of which has advantages and drawbacks. This chapter discusses the lane-change test (LCT), a relatively new dual-task approach for evaluating the impact on driving performance while simultaneously performing a secondary task. The LCT combines the advantages of classic reaction time measurement approaches with those of driving simulator techniques, and is meant to provide a simple, cost-efficient, reliable, and valid tool for evaluating the demand of in-vehicle information and communication systems.
A Study on the Modeling and Diagnostics on Chatter in Endmilling Operation

In this study, the static and dynamic characteristics of endmilling process were modelled and the analytic realization of chatter mechanism was discussed. In this reward, We have discussed on the comparative assessment of recursive time series modeling algorithms that cal represent time machining process and detect the abnormal machining behaviors in precision endmilling operation. In this study, simulation and experimental works were performed to show the malfunctional behaviors. For this purpose, new recursive algorithm(RLSM) was adopted for the oil-line system identification and monitoring of a machining process, we can apply these new algorithms in real process for detection of abnormal chatter. Also, The stability lobe of chatter was analysed by varying parameter of cutting dynamics in regenerative chatter mechanics.
An Investigation of Discovery-Based Learning in the Route Planning Domain

Abstract : This thesis presents MAVERICK, a Discovery-Based learning (DBL) system designed to learn maneuvers in the route planning domain. DBL was originally designed to learn in domains for which little domain knowledge exists. This thesis proposes using it in domains for which knowledge exists, but the acquisition of this knowledge is difficult or time-consuming because of the knowledge acquisition bottleneck. The operation of the DBL process in MAVERICK was investigated to determine the potential utility of such a system to a real- world Air Force problem in the domain of aircraft route planning. MAVERICK worked well in its limited domain, and demonstrated several positive aspects of the DBL process, specifically robustness, flexibility, and graceful degradation. Some negative aspects of the process were also encountered during this research; MAVERICK demonstrated a pronounced tendency towards unpredictability, both in its operation and its development. This likely precludes DBL from application to critical systems, however the positive aspects suggest DBL can have potential utility to other systems. Artificial intelligence, Machine learning, Discovery-Based learning, Route planning, Inductive inference.
The Gut–Liver Axis in Chronic Liver Disease: A Macrophage Perspective

Chronic liver disease (CLD) is a growing health concern which accounts for two million deaths per year. Obesity, alcohol overconsumption, and progressive cholestasis are commonly characterized by persistent low-grade inflammation and advancing fibrosis, which form the basis for development of end-stage liver disease complications, including hepatocellular carcinoma. CLD pathophysiology extends to the intestinal tract and is characterized by intestinal dysbiosis, bile acid dysregulation, and gut barrier disruption. In addition, macrophages are key players in CLD progression and intestinal barrier breakdown. Emerging studies are unveiling macrophage heterogeneity and driving factors of their plasticity in health and disease. To date, in-depth investigation of how gut–liver axis disruption impacts the hepatic and intestinal macrophage pool in CLD pathogenesis is scarce. In this review, we give an overview of the role of intestinal and hepatic macrophages in homeostasis and gut–liver axis disruption in progressive stages of CLD.
Design Optimization Methodology for Planar Transformers for More Electric Aircraft

Isolated DC-DC converters are considered the building blocks of modern aircraft electrical power networks. The high-frequency transformer utilized in such converters is the major contributor to the size and weight besides the thermal management system. In this paper, an optimization design methodology aims to minimize the transformer core size and improve the converter performance through optimized winding configurations. The transformer core selection is based on optimizing the maximum flux density while considering different magnetic materials and number of cores in parallel. The transformer core is selected for an interleaved winding configuration and to keep the windings current density below a certain limit. The trade-offs between the converter efficiency and core weight in selecting an optimum switching frequency are presented. Multi-layer minimum gradient (MLMG) winding configurations are proposed to eliminate the high-frequency oscillations (HFO) caused by the transformer parasitics. The proposed configurations resulted in a reduction of the intra-winding capacitance by 15 times with 20$\%$ improvement in the transformer volume as compared to a similar conventional double-layers spiral configurations. Numerical simulations are performed in ANSYS Maxwell to validate the proposed design and the developed analytical models. The effect of the different configurations on the converter performance is verified in the PLECS simulation environment. PLECS simulation results are validated experimentally for the conventional and proposed configurations highlighting the improvements on the performance of the converter.
The Heterogeneous Effects of COVID-19 Outbreak on Stock Market Returns and Volatility: Evidence from Panel Quantile Regression Model

The purpose of this study is to probe the impact of the novel coronavirus (COVID-19) outbreak on stock market returns and volatility in developed markets. We employ a panel quantile regression model to capture unobserved individual heterogeneity and distributional heterogeneity. The study's findings reveal that there is a heterogeneous impact of COVID-19 on stock market returns and volatility. More specifically, there is a negative impact of COVID-19 on stock returns in the bearish stock market; however, there is an insignificant impact of COVID-19 on stock returns in the bullish stock market. Furthermore, COVID-19 has a positive impact on stock market volatility across all quantiles.JEL Classification: G24, G30, O16How to Cite:Khalid, N. , Zafar, R. F. , Syed, Q. R. , Bhowmik, R. , & Jamil, M. (2021). The Heterogeneous Effects of COVID-19 Outbreak on Stock Market Returns and Volatility: Evidence from Panel Quantile Regression Model. Etikonomi, 20(2), xx – xx. https://doi.org/10.15408/etk.v20i2. 20587.
Inhalable Microparticles Embedding Calcium Phosphate Nanoparticles for Heart Targeting: The Formulation Experimental Design

Inhalation of Calcium Phosphate nanoparticles (CaPs) has recently unmasked the potential of this nanomedicine for a respiratory lung-to-heart drug delivery targeting the myocardial cells. In this work, we investigated the development of a novel highly respirable dry powder embedding crystalline CaPs. Mannitol was selected as water soluble matrix excipient for constructing respirable dry microparticles by spray drying technique. A Quality by Design approach was applied for understanding the effect of the feed composition and spraying feed rate on typical quality attributes of inhalation powders. The in vitro aerodynamic behaviour of powders was evaluated using a medium resistance device. The inner structure and morphology of generated microparticles were also studied. The 1:4 ratio of CaPs/mannitol led to the generation of hollow microparticles, with the best aerodynamic performance. After microparticle dissolution, the released nanoparticles kept their original size.
Transport Economic Theory

The study of transport is the study of movements, of displacements of individuals and things in both space and time. The objective of this book is to provide the basic concepts and tools for the economic analysis of transport systems, with emphasis on the behaviour of users and operators. Distinctive features will be introduced and treated as the natural consequence of processes that deal with displacements in space-time. Emphasis will be given to the operation of transportation systems, i.e. to the actual form of combining vehicles, terminals and rights-of-way in order to produce certain level of flows of different things in different directions. Thus, ours will be a short run oriented view, dealing with the adequate usage of resources for given levels of investment. This book focuses on the behavior of users and operators outside of traditional economic behavior theory. It includes time and space as a distinctive feature of transport economics.
Energy-Aware Collaborative Service Caching in a 5G-Enabled MEC With Uncertain Payoffs

Mobile edge computing (MEC) is an enabling technology for low-latency AI applications, by caching AI services originally deployed in remote data centers to 5G base stations in network edge. Due to limited computing resource of 5G base stations, not all services can be cached in base stations to meet the resource demands of user requests. Also, if the workload of a 5G base station reaches to its resource capacity, the energy consumption of the base station will be pushed up exponentially. To reduce the energy consumption and overcome resource limitations on base stations, an alternative is to allow the base stations to collaborate with each other to admit user requests. In this paper, we investigate the problem of collaborative service caching and request offloading between a 5G-enabled MEC and remote data centers, while meeting the quality of service (QoS) requirements of users, and resource capacities on base stations that are operated by multiple selfish network service providers. We aim to maximize the total payoff of all base stations. To this end, we first propose a two-stage optimization framework: In the first stage, we develop a mechanism that adopts a best-reply rule for dynamically distributed coalition formation. In the second stage, we propose a near-optimal payoff allocation method by devising a randomized algorithm with a provable approximation ratio. We then evaluate the performance of the proposed optimization framework by extensive experimental simulations. Simulation results show that the proposed framework outperforms its counterparts by achieving at least 30% higher payoff and 20% lower energy consumption of base stations.
The Relative Contribution of Sports Recreational Preferences in Predicting Social Adjustment among the International Students at Mansoura University

The research aims at determining the relative contribution of sports recreational preferences in the prediction of social adjustment among the international students in Mansoura University. The researchers used the descriptive approach (correlational relations). The sample included 343 students who were chosen by stratified method of international students. The researchers prepared Sports Recreational Preferences Scale and used the Social Adjustment Scale (prepared by Baker R and Siryk B 1989) as data collection tools. The most important results showed that running, walking, biking and pentagon football were the favorite sportive activities for the international students in their free time. In addition, male Arab students practicing recreational activities enjoyed a higher degree of social adjustment than females and non-Arab students. What means that preferred sports recreational activities contributes highly in the level of social adjustment of foreign students.
Serum Albumin Nanoparticles: Problems and Prospects

The present paper aims to summarize the results regarding serum albumin-based nanoparticles (NPs) for drug delivery purposes. In particular, it focuses on the relationship between their preparation techniques and synthesis parameters, as well as their successful clinical application. In spite of the huge amount of consumed material and immaterial sources and promising possibilities, products made from different types of albumin NPs, with the exception of a few, still have not been invented. In the present paper, promising applications of serum albumin nanoparticles (SANPs) for different biomedical purposes, such as carriers, delivery systems and contrast agents, are also discussed. The most frequent utilization of the NPs for certain diseases, i.e., cancer therapy, and future prospects are also detailed in this study.
English Language Learning Through Non-Technology Games: A Case Study of International Students at a Lithuanian University

Research on gamified language learning often involves the use of digital games. Little is known about the use of non-technology games in promoting language learning despite their accessibility. This paper aims to fill in this lacuna by providing insights into international students’ engagement in non-technology gamified English language learning in the context of a Lithuanian university. The research, which used a case study approach as its methodology, involved a total of 30 international students at a Lithuanian university together with their two instructors. They were observed for two weeks, and then interviewed by the researchers. An inductive thematic analysis approach proposed by Braun and Clark was used to analyse the data. The findings revealed that the students’ engagement with the non-technology gamified lessons have impacted them positively as they believe that they have improved English language proficiency and better mastery of the 21-st century learning skills. However, the participants raised several issues related to cultural sensitivity and blurred learning outcomes. This study concluded that non-technology games serve as a useful tool in promoting language learning in the 21st century if it is carefully designed to attract learners’ interests and at the same to time meet the learning outcomes. This study is hoped to encourage practitioners to experiment with non-technology gamified lessons and provide guidelines for them in conducting effective non-technology gamified lessons.