Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Quality of Healthcare Delivery When Making Choices: National Survey on Health Consumers’ Decision Making Practices

Objective: Choices and quality decisions made by consumers in relation to their healthcare have been associated with personal experience of those services, interpersonal engagement and reliance on third-party information, as well as the subsequent satisfaction with the service. The purpose of this research was to understand current information sources, determinants of quality discernment and decision-making factors by consumers in the Australian community in relation to healthcare. Method: Conventional content analysis research was undertaken in the form of a national telephone survey of 200 consumers. Open-ended questions were used to elicit information from the general community. Results: Reputation and other key interpersonal and structural elements are utilised in determining quality of healthcare services as well as in deployment as key factors in decision-making regarding use of healthcare services. While most respondents valued and used key information about provider relationships, outcomes performance and performance rankings, up to 20% of respondents did not know or could not identify ways in which they would assess and evaluate the quality of healthcare services. Conclusion: This research identifies that consumers use a range of information and advice relating to experience, interpersonal engagement and information from third-party sources. If healthcare providers develop clearer communications around their technical, procedural and conduct principles, consumers will be in a better position to evaluate reputation and make decisions about their healthcare needs and the health system.
Match Experience at the Danish Women’s Soccer National A-Team Matches: An Explorative Study

Women’s soccer is more popular than ever, but match attendance is still relatively low. In order to develop sustainable revenue streams for women’s football, and help it grow further, it is necessary to understand what drives spectator’s overall demand. We explore factors that affect the overall match experience for spectators (i.e., spectator satisfaction) attending Danish women’s national soccer A-team games in the 2016 to 2019 period as a proxy for this. Using survey data gathered by the Danish Football Association (DBU) consisting of 4010 individuals and 13 matches, coupled with other match-specific data, we employ multilevel regression modelling. The results at the individual level suggest that female spectators are significantly more content with the overall match experience, while several additional factors are also important at the match-specific level, such as kick-off time and the result. Furthermore, there are indications that match significance and derby matches affect overall match experience. An important implication of these results is that they can aid national and international federations and other governing bodies in promoting women’s soccer in general, and women’s national A-team soccer specifically, in order to help the sport to become more financially viable. Although numerous initiatives have been designed to increase the attractiveness of women’s soccer, these are yet to materialize into long-term effects.
Crystal structure of a methanol solvate of a macrocycle bearing two flexible side-arms

In the crystal structure of di-tert-butyl N,N′-{[13,15,28,30,31,33-hexaethyl-3,10,18,25,32,34-hexaazapentacyclo[25.3. 1.15,8.112,16.120,23]tetratriaconta-1(31),3,5,7,9,12 (33),13,15,18,20,22,24,27,29-tetradecaene-14,29-diyl]bis(methylene)}dicarbamate methanol disolvate, a pair of solvent molecules is located in the cavity of the host molecule.
On well‐definability of the L∞/L2 Hankel operator and detection of all the critical instants in sampled‐data systems

Funding information Korea Electric Power Corporation, Grant/Award Number: R18XA01; National Research Foundation of Korea, Grant/Award Number: 2019R1A4A1029003 Abstract Because sampled-data systems have h-periodic nature with the sampling period h, an arbitrary Θ ∈ [0, h) is taken and the quasi L∞∕L2 Hankel operator at Θ is defined as the mapping from L2(−∞, Θ) to L∞[Θ, ∞). Its norm called the quasi L∞∕L2 Hankel norm at Θ is used to define the L∞∕L2 Hankel norm as the supremum of their values over Θ ∈ [0, h). If the supremum is actually attained as the maximum, then a maximum-attaining Θ is called a critical instant and the L∞∕L2 Hankel operator is said to be well-definable. An earlier study establishes a computation method of the L∞∕L2 Hankel norm, which is called a sophisticated method if our interest lies only in its computation. However, the feature of the method that it is free from considering the quasi L∞∕L2 Hankel norm for any Θ ∈ [0, h) prevents the earlier study to give any arguments as to whether the obtained L∞∕L2 Hankel norm is actually attained as the maximum, as well as detecting all the critical instants when the L∞∕L2 Hankel operator is well-definable. This paper establishes further arguments to tackle these relevant questions and provides numerical examples to validate the arguments in different aspects of authors’ theoretical interests.
Proposition of New Cost Management Models Applied to Agribusiness

— The conscientious use of information about costs must be a constant practice by entrepreneurs, however, there are countless ways of working with them, determined as a costing method. These costing methods allow a more conscious decision-making, making its users aim to gain competitive advantages. This research demonstrated the importance of costing methods, demystifying and breaking possible paradigms regarding their use by agribusiness, more specifically in agriculture, in the condition of the from inside the gate, which is a peculiar term used in the agribusiness chain to refer to those who is dedicated to planting, handling, harvesting and processing. The applied methodology was the simulation in a case study carried out on a farm located between the state of Sao Paulo and Parana, Brazil, with an area of 380 ha, for the 2019/2020 soybean harvest. The comparison was made between the costing methods by absorption, variable and production effort unit (PEU), where the latter were adapted to a condition of mono production, demonstrating that this is one of the contributions of this work, however,
Ficus retusa L. as possible indicator of air metallic pollution in urban environment

Abstract The aim of this study was to explore the accumulation potential of heavy metals (HMs) by Ficus retusa L. and its possible use for air pollution biomonitoring in urban areas. Plant material was sampled along the national roads in Constantine city (NE-Algeria), characterized by an intense traffic load. The concentrations of cadmium, copper, lead and zinc were determined in the washed and unwashed leaves. The mean concentrations of HMs decrease in the following order: Zn > Pb > Cu > Cd for both studied leaves, and were about 0.68 and 0.98 mg/kg d.m for Cd, 7.26 and 8.74 mg/kg d.m for Cu, 20.35 and 37.61 mg/kg d.m for Pb and 63.33 mg/kg d.m and 75.94 mg/kg d.m for Zn, for washed and unwashed leaves respectively. The studied metal contents were significantly higher than those cited in the literature; this indicates the traffic road impact on HMs emissions and uptake by plants. Higher values of metal accumulation index (MAI) indicate the effectiveness of the studied species for monitoring air metallic pollution in urban areas. Results of this study could be beneficial as preliminary reference values for HMs uptake by F. retusa in urban environments. STATEMENT OF NOVELTY In this paper, we report the usefulness of woody species for the biomonitoring of air metallic pollution. The aim is to explore the accumulation potential of heavy metals (HMs) by Ficus retusa L. and its possible use for air pollution biomonitoring in urban areas. To our knowledge, there are few studies on the use of the genus Ficus for air quality monitoring. The determination of heavy metal contents has been focused on leaves of Ficus benjamin and Ficus microcarpa in urban areas by some researchers, but never on Ficus retusa. The use of this species is significant because it can be cultivated in urban area and can help to remediate the soils and atmospheric pollution due to heavy metals.
Role of Promaxon-D in Controlling Tribological Performance of Cu-Free Brake Pads

Copper appears to be an indispensable ingredient of non-asbestos organic (NAO) brake friction materials owing to its multifunctionality. However, recent findings proved it as a threat to aquatic life and efforts were initiated worldwide over the last few years to find a substitute for it. Recently, the authors’ group had reported on the potential of particulate Promaxon-D (hydrated calcium silicate), a porous material for enhancement of noise–vibration (NV) performance of Cu-free brake pads. It was felt necessary to investigate how Promaxon-D (PD) contributes to controlling tribo-performance of brake pads since this aspect is most important for the brake friction materials. A series of five types of brake pads was developed by keeping parent composition fixed and varying the theme ingredient PD content from 0–20 wt. %. The tribo-performance was evaluated on a full-scale brake inertia dynamometer as per the JASO C406 test standards. The increase in PD contents led to a reduction in density, hardness, and thermal conductivity while an increase in porosity and compressibility. With the increase in PD contents, almost all tribo properties such as average μ, fade ratio, and recovery ratio got enhanced, sensitivity of µ for pressure, speed, and temperature lowered but at the cost of wear resistance. Finally, the worn surfaces of pads and discs were observed under a scanning electron microscope equipped with energy dispersive X-ray (SEM-EDX) to find out the presence of various elements at the contact zone and to monitor specific topographical events responsible for wear mechanism.
Calculating non-centrality parameter for power analysis under structural equation modelling: An alternative

1. Department of Basic Sciences, University of Health and Allied Sciences, PMB 31, Ho, Ghana; Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, PMB, UPO, Kumasi, Ghana, dadedia@uhas.edu. gh 2. Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology; KNUSTLaboratory for Interdisciplinary Statistical Analysis (LISA), Kwame Nkrumah University of Science and Technology, PMB, UPO, Kumasi, Ghana, aoadebanji.cos@knust.edu. gh 3. Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology; KNUSTLaboratory for Interdisciplinary Statistical Analysis (LISA), Kwame Nkrumah University of Science and Technology, PMB, UPO, Kumasi, Ghana, skappiah@knust.edu. gh
Universal scaling law for human-to-human transmission diseases

Due to the COVID-19 pandemic, Susceptible-Infective-Recovered (SIR) models and their variants are in high demand for predicting the number of cases in urban areas. Aiming to correctly use the experience of the epidemic evolution from one local to another, we present an analysis of the transmission rate of COVID-19 as a function of population size at the metropolitan area level for the United States. Contrary to the usual hypothesis in epidemics modeling, we observe that the disease transmissibility scales with the logarithm of the local's population size. The analysis, made possible by a large amount of data available on simultaneous epidemics of the same type, is universal for any human-to-human transmission disease. We present a contact rate scaling theory that explains the results.
Effect of sodium hydroxide treatment in ginger lily forage (Hedychium gardnerianum, Sheppard ex Ker-Gawl) as forage for animal feeding

This study evaluated the effect of sodium hydroxide (NaOH) on the chemical composition (fibrous structure) and nutritive value of Hedychium gardnerianum (ginger lily), a fibre source traditionally used in ruminant feeding in the Azores. Ginger lily samples were manually harvested and dried in a forced-air oven at 65oC until constant weight. Treatments were applied by spraying the ginger lily with a NaOH solution at a concentration of 0, 2, 4, 6, and 8%, at a rate of 1 L of solution per 1 kg of dry ginger lily, and waiting 7 days. The samples were subject to chemical analyses in a laboratory for the determination of the dry matter (DM), crude protein (CP), ether extract (EE), ash, NDF (neutral detergent fibre), ADF (acid detergent fibre), and ADL (acid detergent lignin). The DM digestibility (DMD) and organic matter digestibility (OMD) were determined in vitro. The NaOH treatment led to a significant (p<0.05) reduction of NDF and ADF and led to a significant (p<0.05) in vitro DMD and OMD increase, with best results obtained for an 8% NaOH concentration. It was concluded that the NaOH treatment influences the ginger lily’s chemical composition, reducing the NDF and ADF concentrations, and increasing the in vitro DMD. Key words: Hedychium gardnerianum, in vitro digestibility, NaOH treatment, roughage.
Quality Characteristics of Complementary Food from Locally Fermented Maize Flour Blended with Sprouted Velvet Bean (Mucuna utilis) Flour in Nigeria

Complementary food produced from fermented maize and sprouted velvet bean flour in ratios 90:10, 80:20, 70:30, 60:40, 50:50 and 100% maize (control) was studied in this research work. Proximate composition, anti-nutritional and sensory properties of the blends was evaluated using standard analytical methods. Results showed that moisture (5.49% 8.35%), ash (0.55% 1.25%), crude fiber (3.50% 4.98%), protein (8.05 -13.05%) increased with increased velvet bean flour while carbohydrate content decreased (77.37% 63.48%). Phytate (2.11 2.34 mg/100 g) and oxalate (0.40–10.1 mg/100 g) are within lethal doses. The colour, taste, and mouth-feel of the sample with 10% velvet bean flours were significantly (p<0.05) being the most acceptable by the assessors. This study showed that protein-energy malnutrition in developing nations could be alleviated with complementary foods. Original Research Article Adebayo-Oyetoro et al.; EJNFS, 13(1): 79-92, 2021; Article no.EJNFS. 65517 80
Predicting Period Stock Spread Ranking Using Revenue Indicators and Machine Learning Techniques

Predicting stock market movements is a well-known problem of the machine learning field. In general, there are two primary methods used to analyze stocks and make investment decisions: fundamental analysis and technical analysis. But fewer researchers focus on monthly revenue indicators and different time period prediction. We collect and organize financial data extracted from Taiwan and U.S n companies’ monthly and quarterly financial reports across a period of 10 years. In addition, we successfully use fundamental and technical indicators as training model’s features. Among experiment results, which has good performance. The annualized profitability (annualized rate of return) can reach 2.56%, the Sharpe ratio is 2.01, the maximum amplitude is - 20.8%. Compared with other strategies, our strategy is relatively stable and achieves ideal results. The more important is we used monthly revenue indicators based features to improve model performance.
The Fisher effect on long-term U.K. interest rates in alternative monetary regimes: 1844-2018

ABSTRACT The Fisher Effect is one of the most widely studied relationships in monetary economics. Previous studies have found little evidence of a Fisher effect in pre-World War I data for the United Kingdom. An explanation for this is the near white noise property of the inflation rate under the Classical Gold Standard. There is more evidence of a Fisher effect in the post-World War II years when the inflation rate showed more persistence. This paper studies the evidence on the Fisher effect over the time period 1844-2018. This period covers several distinct monetary regimes. The monetary regime is an important factor determining the time series behavior of the inflation rate which, in turn, has been shown to be crucial to the strength of the Fisher effect. Distinctive features of the study are the focus on the long-term interest rate and coverage of the current inflation targeting regime in the United Kingdom.
Enhancement in seed production of Pearlspot, Etroplus suratensis (Bloch) through improvisation in rearing techniques

ABSTRACT Three seed production techniques of pearlspot Etroplus suratensis (Bloch)—pond rearing, tank rearing, and pit rearing—were evaluated in farmers’ fields to assess production success, practicality, and economic viability. The pond rearing technique stocked mature pearlspot in ponds with artificial substrates and reared seed in the pond itself. The tank rearing technique collected pearlspot eggs from the pond and hatched and reared them in separate tanks. The pit rearing technique trapped pearlspot fry using a specially designed falling trap and reared them in ponds with an artificial feed. The average fingerlings productions per spawning per pair were 47 ± 27, 93 ± 22, and 578 ± 82 respectively. The pit rearing technique was reported to be preferred by farmers because of its ease and cost effectiveness. The homing instinct of pearlspot brooders with spawn to the nursing pits was observed even weeks after hatching.
Multi-Response Optimization of Coagulation and Flocculation of Olive Mill Wastewater: Statistical Approach

Olive oil production is one of the important industrial sectors within the agro-food framework of the Mediterranean region, economically important to the people working in this sector, although there is also a threat to the environment due to residues. The main wastes of the olive oil extraction process are olive mill wastewater (OMW) and olive husks which also require proper treatment before dismissal. In this research work, the main goal is to introduce grey relational analysis, a technique for multi-response optimization, to the coagulation and flocculation process of OMW to select the optimum coagulant dosage. The coagulation and flocculation process was carried out by adding aluminum sulfate (Alum) to the waste stream in different dosages, starting from 100 to 2000 mg/L. In previous research work, optimization of this process on OMW was briefly discussed, but there is no literature available that reports the optimal coagulant dosage verified through the grey relational analysis method; therefore, this method was applied for selecting the best operating conditions for lowering a combination of multi-responses such as chemical oxygen demand (COD), total organic carbon (TOC), total phenols and turbidity. From the analysis, the 600 mg/L coagulant dosage appears to be top ranked, which obtained a higher grey relational grade. The implementation of statistical techniques in OMW treatment can enhance the efficiency of this process, which in turn supports the preparation of waste streams for further purification processes in a sustainable way.
Aboveground tree biomass of Araucaria araucana in southern Chile: measurements and multi-objective optimization of biomass models

Abstract: Estimating carbon stocks in wooded systems is crucial to quantify national greenhouse gas balance estimates. However, inaccurate estimates are likely due to the divergent architecture of many species. The monkey puzzle tree Araucaria araucana, with its umbrella-like architecture is a vivid example. This species, often found in monodominant stands at high elevations, is the greatest carbon reservoir in the landscape, hence estimating its carbon storage is crucial. To provide the necessary basis for these estimations, we documented the variation in basic density and moisture content along the stem profile, identified the most suitable biomass estimation models, and quantified biomass allocation for three age ranges. We measured, felled, weighed, and separated trees into three categories: stem wood, stem bark, and foliage (branches + scaly leaves). The log-linear form of the simple allometric equation Y = aXb, based on diameter at breast height as the explanatory variable, covered a large part of the variation and showed good cross-validation performance (>0.96). Models using more covariates achieved lower absolute errors, but the estimation of the additional model parameters was associated with greater uncertainty. A multi-objective model comparison revealed that the best additional covariate to further improve biomass estimation was total tree height. The mean absolute percentage error was 9.8% for the total aboveground biomass, 8% for stem wood, 12% for stem bark and 24% for foliage. Changes in biomass distribution among tree components were related to age. For older trees, there was a relative increase in stem wood, a decreased proportion of foliage, but no change in stem bark. The proportion of stem bark biomass is similar to that of Araucaria angustifolia, but higher than in other conifers and most trees in general. Our results provide key properties for A. araucana and general guidance for the selection of easily-measurable variables allowing for excellent predictive power for local biomass estimation.
Highly efficient ultraviolet high-harmonic generation from epsilon-near-zero indium tin oxide films

High-harmonic generation in the ultraviolet region is promising for wireless technology used for communications and sensing. However, small high-order nonlinear coefficients prevent us from obtaining high conversion efficiency and functional photonic devices. Here, we show highly efficient ultraviolet harmonic generation extending to the fifth order directly from an epsilon-near-zero indium tin oxide (ITO) film. The real part of the annealed ITO films was designed to reach zero around 1050 nm, matching with the central wavelength of an Yb-based fiber laser, and the internal driving electric field was extremely enhanced. A high energy conversion efficiency of 10−4 and 10−6 for 257.5 nm (fourth-order) and 206 nm (fifth-order) ultraviolet harmonic generation was obtained, which is at least 2 orders of magnitude higher than early reports. Our results demonstrate a new route for overcoming the inefficiency problem and open up the possibilities of compact solid-state high-harmonic generation sources at nanoscale.
Exploratory Study Comparing End-of-Life Care Intensity between Chinese American and White Advanced Cancer Patients at an American Tertiary Medical Center

Background: Understanding ethnic disparities in end-of-life care (EOLC) intensity is central to improving outcomes for diverse populations. Although Chinese Americans represent one of the fastest growing ethnic groups in the United States, little is known about their EOLC intensity. Objective: To explore differences in indicators of high-intensity EOLC in the final 30 days of life, place of death, and hospice utilization between Chinese American and White advanced cancer patients. Methods: In this exploratory review, we collected data on 48 Chinese American and 48 White stage IV solid tumor patients who died during 2013–2018. Indicators of high-intensity care from the final 30 days of life included ≥2 hospital, ≥1 intensive care unit (ICU), and/or ≥2 emergency department admissions; cardiopulmonary resuscitation administration and mechanical ventilation (MV); place of death; and whether patients were on hospice at death. Results: Among Chinese American and White patients, respectively, 49% and 36% died in the hospital, 15% and 7% died in the ICU, 17% and 8% received MV, and 6% and 13% had ≥1 hospital admission lasting >14 days. Seventeen percent of Chinese American and 43% of White patients died at home. Hospice enrollment was similar between groups. Seventeen percent of Chinese American and 8% of White patients died within 30 days of diagnosis. Conclusion: Results suggest that fewer Chinese Americans died at home, whereas more died in the ICU, received MV, and died within 30 days of cancer diagnosis, indicating possible disparities in EOLC. Further studies are needed to explore findings from this exploratory investigation.