Miracle-dz/UniFAR-FTUs huggingface dataset:
Taxonomic Differentiation of Iberian Knapweeds (Centaurea sects. Jacea and Lepteranthus, Asteraceae) and Genetic Isolation of Infraspecific Floral Morphotypes1

Abstract The taxonomic boundaries of Centaurea L. species and infraspecific taxa are often blurred by hybridizations. However, counterbalancing genetic isolation contributes to maintaining taxonomic limits and fostering rapid speciation processes. Radiant (R) and non-radiant (NR) capitula are two major floral morphs present in Centaurea. However, it is unclear how gene flow affects the distribution of floral morphotypes across populations and taxa. We have investigated the taxonomic differentiation and potential effect of genetic isolation in R and NR populations of Iberian Centaurea sects. Jacea (Mill.) Pers. ex Dumort. and Lepteranthus (Neck. ex DC.) Dumort. A total of 510 individuals from 58 populations (12 taxa) were analyzed using 165 amplified fragment length polymorphism (AFLP) markers. Genetic diversity and structure parameters were estimated at the taxon, population, and floral morphotypic levels. We tested whether there was correlation between population pairwise fixation index (Fst) genetic distances and the inbreeding coefficient (Fis), taken as a surrogate of reproductive isolation between the R and NR morphotypes of each group, and also taking into account geographic distances, using distance-based redundancy analysis (dbRDA). We also performed isolation by distance (IBD) tests between different floral morphotypes, aiming to infer the impact of genetic isolation on evolutionary and taxonomic divergence of the individuals. The taxa of Centaurea sects. Jacea and Lepteranthus constitute independent evolutionary lineages. Most of the detected genetic clusters match the taxonomic circumscription proposed in our most recent treatments. Genetic diversity was highest in C. debeauxii Godr. & Gren. subsp. debeauxii and subsp. grandiflora (Gaudin ex Schübl. & G. Martens) Devesa & Arnelas and in C. jacea L. subsp. angustifolia (DC.) Gremli (R) and lowest in C. nevadensis Boiss. & Reut. (NR) within the Centaurea sect. Jacea clade, whereas it was highest in C. linifolia L. within the Centaurea sect. Lepteranthus clade. Population-level dbRDA tests did not detect a significant correlation of R versus NR genetic distances and Fis values in any of the studied cases; by contrast, they detected significant correlation with longitude (C. jacea subsp. angustifolia, C. debeauxii, C. linifolia–C. stuessyi Arnelas, Devesa & E. López) or latitude (C. nigra L.). IBD analysis at the individual level showed that, in addition to geography, other morphotype-related factors may affect the genetic differentiation of R versus NR morphs in C. nigra, C. debeauxii, and C. linifolia–C. stuessyi. These results suggest that the fixation of the different morphs within the same taxon or group may be explained by geographic isolation, though we could not discount other potential unknown factors that could have contributed to microspeciation in these recently divergent populations, which originated only several thousands of years ago.
Thermal-Hydraulic Modeling of Supercritical Water Oxidation of Ethanol

Supercritical water oxidation (SCWO), a promising technology to treat hazardous organic wastes, is capable of organic destruction efficiencies in excess of 99.9% at operating conditions of 620 °C and 234.4 bar. Under these conditions, organic compounds are completely miscible with supercritical water, oxygen, and nitrogen and oxidize rapidly to carbon dioxide and water. The reactor is central to the SCWO process. Many reactor designs have been proposed, patented, and tested at both bench and pilot scales. Commercial operation will require that these systems be scaled up by a factor of 10−100 times. Successful scale-up of this magnitude will be facilitated by creating numerical reactor models, validating these models against the available data, and then using the models to simulate the larger reactor's performance. This paper presents the initial steps in modeling a SCWO reactor using a commercially available computational fluid dynamics (CFD) package. The results of this CFD model are compared with test d.
Exploring applicability, interoperability and integrability of Blockchain-based digital twins for asset life cycle management

PurposeThe blockchain-based digital twin has been recognized as a prominent technological ecosystem featuring synergies with both established and emergent information management practice. The purpose of this research is to explore the applicability, interoperability and integrability of a blockchain-based digital twin for asset life cycle management and develop a model of framework which positions the digital twin within a broader context of current management practice and technological availability.Design/methodology/approachA systematic literature review was performed to map use cases of digital twin, IoT, blockchain and smart contract technologies. Surveys of industry professionals and analyses were conducted focussing on the mapped use cases' life cycle–centric applicability, interoperability and integrability with current asset life cycle management practice, exploring decision support capabilities and industry insights. Lastly, a model of framework was developed based on the use case, interoperability and integrability findings.FindingsThe results support approaching digitization initiatives with blockchain-based digital twins and the positioning of the concept as both a strategic tool and a multifunctional on-field support application. Integrability enablers include progression towards BIM level 3, decentralized program hubs, modular cross-technological platform interfaces, as well as mergeable and scalable blockchains.Practical implicationsKnowledge of use cases help highlight the functionality of an integrated technological ecosystem and its connection to comprehensive sets of asset life cycle management aspects. Exploring integrability enablers contribute to the development of management practice and solution development as user expectations and technological prerequisites are interlinked.Originality/valueThe research explores asset life cycle management use cases, interoperability and integrability enablers of blockchain-based digital twins and positions the technological ecosystem within current practice and technological availability.
Innovative Methodologies in a Pandemic: The VESS Model

The VESS (Meaningful Life with Balance and Wisdom) model is considered to be a learning method based on the construction of knowledge through critical and visible thinking, with a neuroeducational base. The aim of the present work is to conduct a psychometric study of a measurement scale about the learning of the VESS model created for teachers-in-training. This article presents two survey-based descriptive studies conducted at the University of Cordoba (Spain). The data were subjected to descriptive, correlational, reliability and validity analysis through exploratory and confirmatory analyses, respectively. It is an instrument with high goodness-of-fit indices and suitable validity and reliability values. This instrument is applicable to similar study contexts.
Co-integration and Causal Relationships: The Case of the Jordanian and Developed Stock Markets

The main purpose of this study is to investigate co-integration and causal relationships among the Jordanian, the US, and the UK stock markets. The vector error correction model is applied using yearly stock market indices series for the period, 1978 – 2018. The results reveal the existence of co-integration and causal relationships among stock markets indices. These results indicate the scope for diversification profits, where the Jordanian investors secure higher levels of mean returns on the diversified portfolios. This study is important for individual investors and policy makers in macroeconomics and finance, as stock markets affect consumption, wealth, and capital flows. The contribution of this study to the present literature is threefold. Firstly, it adds to the empirical literature an up-to-date dataset and employs a dynamic and causal approach, vector error correction model, which establishes whether market long-run equilibrium (i.e., co-integration) is stable for stock markets of Jordan, the USA, and the UK. Secondly, it analyses the performance of the Amman stock exchange for the period 1978-2018. Finally, this paper has implications for international portfolio diversification. If stock markets are co-integrated, this implies that there is an opportunity of arbitrage activity. In other words, stock markets are moving together towards long-term, and there are limited possibilities of gaining abnormal returns by diversifying investment portfolios.
The effect of adding graphene nanoparticles to the thermal performance of LiCo0.525Ni0.475O2 cathode materials in Li-ion batteries

In this work, the effect of adding graphene to the performance of layered LiCo0.525Ni0. 475O2 (LCNO) cathode materials was investigated. Cathode materials LiCo0.525Ni0. 475O2 (LCNO) were prepared using a self-propagating combustion reaction. Graphene (G) was added to the prepared compound (LCNO) in different weight percentages to obtain LCNO/G (LCNOG) to improve cathode performance. The powder was divided into four parts weighing 10 g each, and the parts were mixed with percentages weighing 0, 0.5, 2, 4 and 6% of graphene with 200 ml of ethanol; they were then stirred several times at room temperature to dry completely The effect of graphene weight percentages on LCNOG mass loss was studied using thermo-gravimetric analysis (TGA). It was concluded that all of the added percentages of graphene behaved the same in all temperatures, except for 6% added graphene, where it demonstrated inverse behaviour at a high temperature. To determine the optimum annealing temperature range, TGA was identified at 650, 750 and 850 °C for 12 hours in the air. The X-ray diffraction (XRD) patterns of the LCNO and LCNOG showed the crystallisation of all powders in the space group R-3m and hexagonal axes for the crystal system. Energy dispersive spectrometry (EDS), field emission scanning electron microscopy (FE-SEM), a vibrating sample magnetometer (VSM) and atomic force microscopy (AFM) were also used. The LCNOG surface morphology consisted of regular coverage of nano-crystalline grains and random orientation.
Merging data and experts’ knowledge-based weights for ranking GMPEs

In this article, Bayes factors (BFs) are used for selecting and weighting the ground motion prediction equations (GMPEs). BFs are defined as the posterior probability of a model being the best model describing data. The Bayesian framework allows for merging information gathered from available seismic data and the experts’ opinion thus allowing for a bridge between data-driven and non-data-driven methods. A multi-dimensional likelihood function is used to account for earthquake-to-earthquake and record-to-record variability. A study is performed to identify the effects of model uncertainty and dataset variations on Bayesian weights by using simulated data. It was found that for a given median prediction, by increasing standard deviation the relative weights increase until it reaches a maximum and then start to decrease. The standard deviation corresponding to the maximum weights corresponds to the scatter of data used for calculating the weights. The method was applied to a local region with nine preselected local and regional GMPEs. The ranking, selection, and weighting are performed using a local dataset and the results are compared with four available ranking methods. While various methods may yield similar or different ranking results, the proposed method is the only one that provides scientific means of selecting appropriate models from a set of initially selected GMPEs.
Moral distress and intention to leave intensive care units: A correlational study

Moral distress is a fundamental problem in the nursing profession that affects nurses. Critical care nurses are more susceptible to this problem due to the nature of their work. Moral distress may, in turn, lead to several undesirable consequences. This study aimed to determine the relationship between moral distress and intention to leave the ward among critical care nurses. This descriptive-correlational study was conducted by census method on all eligible nurses who worked in Coronary Care Unit (CCU) and Intensive Care Unit (ICU) of AhVaz hospitals, Iran. Data was collected by Corley’s moral distress questionnaire and a researcher-made questionnaire to investigate the intention to leave the ward. Questionnaires were completed through self-report and data were analyzed using a t-test and Pearson correlation coefficient. The results showed that there was a direct association between moral distress and intension to leave the ward in critical care nurses (P < 0.05). Also, the intensity of moral distress (P = 0.03) and the intention to leave the ward (P = 0.007) were significantly higher in ICU nurses. Given the high exposure of critical care nurses with moral distress and its association with leaving the ward, it seems that devising strategies to reduce or control moral distress and its negative consequences are necessary, particularly in ICU nurses.
Analysing investment product choice in South Africa under the investor lifecycle

Abstract Individual investment decision-making theory revolves around the logical choices an investor is expected to make to achieve the maximum return on investments. The investor life cycle theory is often used as a guideline to determine how investors will invest based on their predicted life cycle phase. However, the question remains whether lifecycle investing is still relevant today. The main purpose of the paper is to analyse how demographic factors influence investment product selection for South African banking clients using Big Data. The analysis found that the investment patterns of South African investors strongly contradict the foundational literature of the investor life cycle. South African investors are skewed more towards low-risk investment options like cash, across all age ranges, only investing in higher-risk instruments much later than what the investor life cycle theory suggests. Female investors are especially risk-averse, however, the effect becomes less prominent as income level rises. The risk-averse investment style seen in the findings for all South African investors can be explained by the slow economic growth experienced in South Africa, with investors having less disposable income to invest.
Socio-Cultural Risk Factors of Anemia among Children under Five Years of Age in District Muzaffarabad, Azad Jammu & Kashmir, Pakistan

Aims: This study is aimed to determine the prevalence of anemia and to analyze its socio-cultural determinants among under five children to devise targeted delivery plan for pharmaceutical interventions to combat anemia. Study Design: To investigate the socio-cultural risk factors, a cross-sectional field survey was conducted to gather data from 384 women and their last child up to five years of age in Muzaffarabad district of Azad Jammu & Kashmir (AJK), Pakistan. Original Research Article Habib et al.; JPRI, 32(30): 100-112, 2020; Article no.JPRI. 62641 101 Methodology: A pretested interview schedule was constructed to collect socio-cultural characteristics of the women and their children. We use convenience sampling which is a nonprobability sampling technique for data collection. Two government hospitals were selected for data and blood samples collection from respondents. We use univariate analysis for descriptive statistics and perform bivariate analysis to find the association of anemia with the socio-cultural risk factors. Binary logistic regression is used to calculate odd ratios and the corresponding 95% confidence intervals. The results were considered statistically significant for p-value <0.05. Results: The overall prevalence of anemia is 47.7%, which is a severe health problem from public health perspective. Among anemic children 74(40.4%) are mildly anemic, 79(43.2%) are suffering from moderate and 30(16.4%) from severe anemia. Major risk factors of anemia include residential area, parental education, father’s profession, lower family income, maternal knowledge about balanced diet and anemia. Conclusion: It is concluded that anemia among under five children is a multifactorial problem and policymakers should devise targeted pharmaceutical interventions (iron and folic acid supplementation) to combat anemia.
Analysis of effective solid stresses in a conical spouted bed

Some applications of spouted beds have been limited by problems with spout stability. In order to overcome these limitations, research should be concentrated on describing the mechanism by which the spout is developed. This work presents a theoretical and experimental study to describe the effective solid stress distribution in the annular region of a conical spouted bed. From experimental observation, the failure state of the bed of particles at the outset of spouting is identified and related to fluid-particle properties and column dimensions. Linear and angular momentum balances for the solid phase are then formulated as a function of the bed failure state. The set of equations obtained is solved using numerical methods, and results regarding stress distribution, stability and spout shape are presented and discussed.
Roles of halide anions in the structural diversity of Zn(II) complexes containing the flexible N,N′-di(4-pyridyl)adipoamide ligand

A series of Zn(II) complexes with N,N′-di(4-pyridyl)adipoamide ligands, {[ZnX2(L)]·H2O}∞ (X = Cl, 1, Br, 2 and I, 3; L = N,N′-di(4-pyridyl)adipoamide), [Zn2X4(L)2]·2DMF (X = Cl, 4 and Br, 5) and [Zn2I4(L)2]·4DMF·C4H10O, 6, were prepared and their structures determined by X-ray crystallography. Complexes 1 and 2 form double-stranded helical chains which are supported by the N–H⋯O and O–H⋯X hydrogen bonds involving the guest water molecules and the halide anions, whereas 3 shows sinusoidal chains which are interlinked by the N–H⋯O hydrogen bonds and π–π interactions. Complexes 1–3 represent a unique example that the halide anions show significant effect on folding and unfolding of the Zn(II) double-stranded helical coordination polymers. Complexes 1–3 can be transformed to the corresponding complexes 4–6, which are dinuclear with 34-membered metallocycles. In these complexes, the chloride and bromide anions play the same role in the crystal structures, while the iodide anion is distinct.
Side effects and discontinuation rate of depot medroxyprogesterone acetate in a tertiary hospital, southern Nigeria

Depo provera is a synthetic derivative of progesterone given at a dose of 150 mg intramuscularly every 3 months. It is one of the widely used forms of contraception worldwide. The minimal service provider user attention, low Pearl index, long duration of action, simple storage and non contraceptive benefits make it suitable to use in the developing countries. Depo provera acts by primarily inhibiting gonadotrophin secretion thereby inhibiting follicular maturation and ovulation. It thickens the cervical mucus thus preventing ascent of spermatozoa into the uterine cavity. It also causes changes in the endometrium leading to endometrial atrophy thereby making implantation of fertilized ovum difficult.
THE NATURAL GAS CONSUMPTION AND ECONOMIC DEVELOPMENT NEXUS: FRESH EVIDENCE FROM INDONESIA

Indonesia is the 26th largest natural gas consuming country in the world. Currently the government is strategically planning to get into developed countries by boosting up the status of its economic growth. This study empirically examines the situation of country’s strategic planning to get achieved by utilizing the available resources and the association between capital and labor, natural-gas (NG) consumptions, and exports of the country. The current study is utilizing time-series data from the year 1980 to 2018. In order to confirm the cointegration Johansen Cointegration technique has been used while short-run and long-run coefficients are estimated by applying ARDL bound test. Results indicate that economic growth reduces while exports, and the consumption of capital and labor boost the use of natural gas (NG) in Indonesia. So, an affiliation between consuming natural gas consumption effects inversely by the economic growth of Indonesia. Furthermore, labor utilization plays a significant and maximum contribution in the consumption of NG and also in the GDP of the country. This research recommends the active manipulation of natural gas availability and resources of Indonesia, a strenuous determination in order to develop labor resources and protection a representative time in planning amongst other resources.
Employee Performance Optimization Through Transformational Leadership, Procedural Justice, and Training: The Role of Self-Efficacy

This study aims to analyze the effect of transformational leadership (TL), procedural justice (PJ), and training (T) on employee performance (EP) mediated by self-efficacy (SE). The object of this research is Rumah Sakit Umum Daerah (RSUD) M.Th. Djaman, a hospital in Sanggau Regency, while the subjects are the institution’s staff. Data collection search uses purposive sampling with a total of 120 samples. Data are obtained through questionnaires distributed directly to respondents using the Google Form application. Data analysis techniques used in this study include standard error of mean (SEM) with AMOS software version 24.00. Methods use to test validity and reliability of data include Confirmatory Factor Analysis (CFA), Construct Reliability (CR) and VE. The results of the analysis show that only training has a significant effect on self-efficacy, and self-efficacy has a significant effect on employee performance. Also, self-efficacy is proven to mediate the role of training on employee performance; the other hypotheses are not significant. Training is the most prominent positive factor affecting self-efficacy and self-efficacy has a significant effect on employee performance at RSUD M.Th. Djaman. The results of this study can be used as a reference by management in determining what policy priorities should take precedence.