Miracle-dz/UniFAR-FTUs huggingface dataset:
3D-CFD Study of Oblique Streamlining Membranes on the Roof-Top of a Low-Rise Building, Targeting Pedestrian Comfort-A Case Study

Considering the cubic nature of the most frequent geometries among the urban elements and their configurations, the manipulation of the free stream wind flow around the enormous objects, as well as within relatively narrow corridors, such as street canyons is significant in many regards. One of its instances could be mentioned as pedestrian comfort. In this case study, the implementation of an Oblique Streamlining Membrane (OSM) has been studied on a sub-branch of a low rise, but bulky, building, over which a roof-top outdoor food court area has been primarily designed. The OSM serves as the streamlining mechanism, preventing the roof-top area from the intense fluctuations of the wind flow after the flow is separated from the inlet corner side of the building in question. The optimization of sub-geometries and the proof of the concept for the OSM flow controlling mechanism were the subject of the current manuscript, for which a 3D numerical Reynolds Average Navier-Stokes (RANS) scheme has been used. An unstructured computational grid has been applied around the 3D geometry of the entire building and its sub-branching details, which is in contrast with most studies on full-scale geometries, tending to have simplifications on the body to reach a more generalized set of results. All cases have been numerically tested with and without the presence of the OSM. This comparison has been the grounds for proving the effectivity of the said flow controlling mechanism to eliminate high gradient fluctuations of the separated flow off the roof corners. This has led to pedestrian/resident comfort on the roof-top food court area located on top of the building.
Care practices in normal-risk births assisted by obstetric nurses

Methods: A cross-sectional, retrospective, analytical study conducted in the obstetric center of a public hospital in Porto Alegre, Brazil with 186 women at normal-risk labor assisted by obstetric nurses in 2013– 2016. Inclusion criteria were pregnant women at normal risk during prenatal care and hospital admission, with a single fetus born alive at full term (gestational age, 37–41 weeks) with a well-fl exed cephalic presentation. Parturients admitted to the institute during the expulsion phase and those with incomplete information in their medical records were excluded. Data from the study were grouped into a database and analyzed using Statistical Package for the Social Sciences software, version 25.0. Pearson’s chi-square test and Fisher’s exact test were used to compare proportions.
CAT Model for Complex Evaluation of Organisational Maturity in Small and Medium Enterprises

This paper deals with the need to complexly evaluate maturity, management, stakeholder relationship and resources utilisation of an organisation. It searches for an assessment tool independent on time and industry contexts. The research was conducted in two phases. The literature review on a set of existing performance models did not find any suitable tool. Based on that, a new performance model was created to assess the maturity of an organisation, focusing on soft factors like its leadership, processes and culture. It had been tested using structured interviews with managers in Czech, Slovak, German and Chinese companies. The model is based on a set of 17 non-financial criteria, divided into categories Management, Stakeholders and Resources. The results are given for each criterion, category and as an overall score. This article briefly describes the developed CAT model, methodology of its creation and validation and explains how it can be applied as an assessment tool. Its results can be benchmarked among different organisations/overtime to track development progress. Implications for Central European audience: This model gives both practitioners and researchers a lean, yet powerful tool to evaluate the maturity of an organisation with structured and measurable results. The new possibilities for quantitative research using the CAT model are now available for researchers to assess even larger samples of organisations with reasonable effort. For practitioners, the value is in a quick discovery of own weaknesses/strengths with structured results and recommendations. Model structure and selection of respondents ensures that the results are measurable and cover views of both management and employees.
Neutrosophic Sets and Systems Neutrosophic Sets and Systems

: Blockchain technology (BT) has become popular in the firms in the present time, however, implementation of BT includes several risk factors from various points of view. Some of these risks can be serious for the processes of firms. These risks should be cautiously recognized and analyzed to reduce the negative impacts of them. Assessment of the risks can be recognized as a multi-criteria decision making (MCDM) problem. In this work, the risks that will occur when implementing BT are assessed by using MCDM methodology built on Single Valued Neutrosophic Sets (SVNSs), Analytic Hierarchy Process (AHP), and Decision Making and Trial Evaluation Laboratory (DEMATEL) methods. The main and sub-criteria risks are collected via a company in the smart village in Egypt and from previous research, hence, the hierarchical form of the problem is built. AHP is used to show the importance of risk factors and the relationships between risk factors obtained by using the DEMATEL method. The main goal of this study is to aid the firms mainly and the firm in Egypt especially to determine which risks are more serious and to which of them causing effect and are being affected. In this study 8 main criterion and 28 sub-criteria, risks are used. As result, the security risk is important in the main risks but energy costs and data leaks are important in sub risks.
The Relationship Between Learner Autonomy And Academic Self-Efficacy Among English Major Students In Hubei Province

The objective of this paper is to explore the current level of learner autonomy and academic self-efficacy and relationship between learner autonomy and academic selfefficacy amongst English major students. A total number of 443 English majors students from eight universities in Hubei Province were chosen as respondents through two steps, stratified sampling and simple random sampling. In this study, two questionnaires were adopted to gather data from the 443 chosen respondents. After the data collection, SPSS 24.0 was used to process the data set to generate descriptive statistics and then Pearson product moment correlation analysis was utilized to find out the correlation between earner autonomy and academic self-efficacy. The outcomes of this research show that: firstly, the overall levels of English major students’ learner autonomy and academic selfefficacy are both moderate; secondly, there is a significant and positive correlation between English major students’ learner autonomy and academic self-efficacy, with the correlation coefficient value being 0.462; thirdly, there is a significant and positive correlation between the five dimensions of English major students’ learner autonomy and academic selfefficacy, with the correlation coefficient value being 0.421, 0.450, 0.279, 0.334 and 0.477 respectively; fourthly, there is a significant and positive correlation between the dimensions of English major students’ academic self-efficacy and learner autonomy with the correlation coefficient value being 0.423, 0.342 respectively. On the basis of the results of the investigation, this study further puts forward some strategies concerning the improving of English major students’ academic self-efficacy and learner autonomy. In addition, some recommendations for future research are also put forward.
Estimation of total extractive content of wood from planted and native forests by near infrared spectroscopy

Abstract: The aim of this study was to evaluate the performance of multivariate models using Near infrared (NIR) spectra for predicting total extractives content of solid and powdered wood of planted and native species from tropical savanna. NIR spectra were recorded on the milled wood and radial surface of solid wood specimens of Cedrela sp. , Jacaranda sp. , Apuleia sp. , Aspidosperma sp. and clones of Eucalyptus hybrids via an integrating sphere and fiber optics probe. NIR spectral signatures were evaluated by Principal Component Analysis (PCA) and then associated to the total extractive content quantified by extraction in toluene/ethanol (2:1) solutions, pure ethanol and hot water by Partial Least Squares (PLS) regressions. PCA revealed that NIR spectra measured in solid wood by integrating sphere gave a better discrimination of wood species. A global PLS model was developed based on NIR obtained by integrating sphere with satisfactory estimations both for solid wood (R²cv= 0.87, RMSECV= 1.08%) and wood powder (R²cv= 0.85, RMSECV= 1.19%). An independent test-set validation was performed with 25% of the samples and yielded R²p= 0.93 and RMSEP= 0.95% (for solid wood) and R²p= 0.87 and RMSEP= 1.40% (for wood powder). Both models can be applied for rapid screenings, though models developed from NIR spectra by integrating sphere on solid wood are considered more suitable for rapid predictions of extractive content in unknown wood specimens.
EVALUATING THE POSSIBILITIES AND LIMITATIONS OF CYANOBACTERIAL HOSTS FOR FUTURE BIOTECHNOLOGICAL APPLICATIONS

Carbon neutral solutions and circular economy are a relevant part of a sustainable future. Solutions based on photosynthetic cyanobacteria have potential due to several facts: i) Cyanobacteria can produce target compounds directly from CO2 and H2O using sunlight. ii) The expanding synthetic biology toolset allows the modifications of native pathways and even the introduction of entire heterologous pathways. iii) Many strains can tolerate harsh conditions and they do not compete for prime land areas with agriculture. Cyanobacteria are more complex biotechnological production platforms compared to traditional heterotrophic bacteria, and therefore a combination of basic research and synthetic biology is required. The work presented in this thesis combines basic research of native hydrocarbon metabolism to the applied utilization of cyanobacteria for heterologous ethylene production. In addition, the host cell properties of two different cyanobacterial strains were compared and, according to the principles of circular bioeconomy, a fermentative waste product was studied as an alternative carbon source for biomass production. The gained results highlight the unexpected importance of native hydrocarbons to cyanobacterial cells. Saturation and quantity of the aliphatic hydrocarbons is strictly controlled and membrane associated, while lack of hydrocarbons resulted in distorted growth and reduced photosynthetic activity, carbon fixation and the floating capacity of cells, which are important features for survival of photosynthetic organism in native aquatic environments. Ethylene, on the other hand, can be produced via the introduced ethylene forming enzyme. An alternative expression strategy enabled long-term ethylene production in two different host strains without the previously encountered loss of viability. Furthermore, both the original and modified gene sequence of efe enabled similar ethylene production in both hosts. This highlights the importance of taking into consideration strain-specific variations when designing production systems. Another important feature in production system design is the flexible use of alternative carbon sources which can function as a backup when light is limited and increase biomass accumulation. The potential for the utilization of acetate was studied as well, and the addition of an acetate transporter was observed to increase acetate intake. This was especially beneficial for cell growth under low light conditions, despite it being accompanied by alterations in photosynthetic activity and intracellular storage compounds.
Interactive comment on “The role of grain-size evolution on the rheology of ice: Implications for reconciling laboratory creep data and the Glen flow law” by Mark D. Behn et al

Behn et al. provide an interesting model to reconcile apparently contradictory laboratory creep data from ice samples and Glen’s power law for glacier and ice-sheet flow. For the latter, a stress exponent of n=3 is usually assumed, as the authors correctly state. A stress exponent of n≈3 is actually also reported for many experiments (see for example Table 1 in Weertman, 1983). However, Goldsby and Kohlstedt (2001) and Goldsby (2006) presented experimental results that indicate that the stress exponent can achieve different values depending on the active deformation mechanism, with n=1.8 for grain boundary sliding and n=4 for dislocation creep. Glen (1955) actually
HYBRID HF-DFT MODELLING OF WATER ADSORPTION ON (001) SURFACE OF ORTHORHOMBIC AND CUBIC SrHfO3

ABSTRACT The results of the first-principles simulations of water adsorption on (001) surface of both cubic and orthorhombic phases of SrHfO3 crystal are presented. The dissociative and molecular water adsorption is investigated. The role of geometrical and chemical-bonding factors in the relative stability of different adsorption structures is discussed. A symmetry reducing from cubic to orthorhombic is shown to provide more optimal mutual orientation of adsorbate species thus increasing the water adsorption energy on the orthorhombic crystal compared with the cubic one.
Pulse radiolysis : adducts of vinyl compounds and simple free radicals

Pulse radiolysis of (a) aqueous de-aerated solutions of acrylamide, methacrylamide, N-t-butyl acrylamide, acrylic acid and acrylonitrile and (b) styrene and α-methyl styrene in de-aerated cyclohexane, dioxane, tetrahydrofuran and benzene results in intense transient absorption spectra. Those for system (a) are assigned to monomer radical anions, m–1˙, and the products of reaction of a radical with the monomer. Their decay is second order and values of the extinction coefficients and bimolecular rate constants have been determined. Absolute rate constants( M–1 sec–1) were obtained for the reaction of acrylamide with (a) hydrated electrons, (2.1 ± 0.4)× 1010, (b) OH radicals, (2.0 ± 0.5)× 109 and for the reaction of the product of the reaction of the radical and monomer with oxygen and ferricyanide ion, (1.9 ± 0.3 )× 109 and (6.8 ± 0.4)× 106 respectively. For system (b) the absorptions and decay kinetics observed are not completely understood. At least two distinct species are formed, one of which can be ascribed to a radical but neither to a radical anion.
Cognitive Impairment among Elderly Patients Admitted For Post-Acute Care in Bahrain

Background Globally, the percentage of older adults (60 years and above) is increasing and it is projected to reach 28.1% of the total population of the Kingdom of Bahrain by 2050 [1] . Due to lack of awareness of healthcare professionals and patients alike in the developing world most of cognitive impairment cases remain undiagnosed. A study carried out by Chodosh et al. (2004) showed that healthcare professionals were unaware of the prevalence of a cognitive impairment in more than 40 percent of their cognitively impaired patient [2] . In another study, Kotagal et al. (2014) reported that for more than half of patients diagnosed with dementia, a proper clinical cognitive evaluation had not been performed by healthcare professionals [3] . Failure to carry out a proper assessment of cognitive function of the elderly is most likely to hinder the treatment of cognitive impairment and other comorbid conditions, with the cognitive condition worsening over time in most cases [4] [5] [6] [7] . Factors that influence the frequent admissions of dementia patients are different than those that result in long-term hospitalization of the patient [8] . An increase in the length of hospitalization of patients suffering from dementia was mostly as a result of the effects of dementia on mobility, continence, nutrition of the patient as well as delirium and low-quality of social life [9] . This study was performed in a post-acute medical care facility, the Ebrahim Khalil Kanoo Community Medical Center (EKKCMC) which can be described as a post-acute medical care center that provides care for patients in the post-acute stage but not for long term care. In order to best describe EKKCMC, inpatient services that operate at a different level to acute or long-term care are described as “intermediate care” [10] [11] . Sub-acute care is generally more intensive than in a traditional nursing care facility [12] . EKKCMC provides care to all age groups, yet over 80% of patients receiving care in this facility are elderly with the average age being about 60 years old. Cognitive impairment has a major impact on the quality of life of elderly persons. Understanding the epidemiology of cognitive impairment in a given Abstract Cogni t ive impairment is common in eldery pat ients admitted to subacute rehabi l i ta t ion cent res and is related to poor outcomes in terms of rehabi l i tat ion. The current study is designed to re trospect ively describe the resul ts o f the assessment of a group of pat ients admitted to Ebrahim Khal i l Kanoo Community Medical Center (EKKCMC), a Post acute care faci l i ty in Bahrain.
Wage Differentials and Employee Engagement in Federal Agencies in Rivers State

This paper examined the relationship between wage differentials and employee engagement in federal agencies in Rivers State. The study adopted a cross-sectional survey in its investigation of the variables.Primary data was gathered through structured questionnaire. The population of the study was 1019 employees of five (5) selected federal agencies situated in Rivers State. A sample size of 287 was determined using Taro Yamane sample size formula. The reliability of the instrument was achieved by the use of the Cronbach Alpha coefficient with all the items scoring above 0.70. The hypotheses were tested using the Spearman’s Rank Order Correlation Statistics. The tests were carried out at a 95% confidence interval and a 0.05 level of significance. The finding revealed that there is a significant relationship between wage differentials and employee engagement in federal agencies in Rivers State. The study recommends that policies should be designed to address the gender wage gaps within the organization in such a manner that supports the equality of wage distribution across both genders. This can be achieved through a de-emphasis of the gender category and a strengthening of collaboration and cooperation between the gender groups through adequate policies and work arrangements that allow for collaboration and joint effort.
Instructional Leadership Practices and School Leaders' Self- Instructional Leadership Practices and School Leaders' Self-Efficacy Efficacy

The purpose of this quantitative study was to investigate instructional leadership practices and the degree to which these practices predict the leadership self-efficacy of school leaders while controlling for years of experience as a school leader. With educational reform focused on school accountability, principals must attend to tasks that lead to school improvement. Identifying such tasks as instructional leadership practices and gaining a more comprehensive understanding of instructional leadership practices through leadership self-efficacy may contribute to school improvement. The methodology utilized a survey and the participants were 100 principals and assistant principals of public schools in the southeastern United States, spanning 18 school districts and 180 schools. The findings revealed that supervising and evaluating instruction and monitoring student progress were significant positive predictors of leadership self-efficacy for the entire sample of respondents whereas coordinating curriculum was only approaching significance. This pattern shifted, however, when the sample was divided between principals and assistant principals. For practical implications, educational leaders and key constituents may consider these results for reflection on practice as well as planning professional learning for skill development to attain school improvement. Recommendations for future research include expansion of the population to include participants in other locations as well as the inclusion of additional instructional leadership practices.
Apparatus for Emulsion Production in Small Scale and Under Controlled Shear Conditions

In this article, a rotor–stator apparatus for the production of 5 g batches of emulsion is introduced. Special attention was paid to the design of the apparatus and its construction, ensuring close tolerances in all machined parts. The size of the dispersing gap was 500 mm. The need to prepare small quantities of homogeneous emulsion formulations containing costly ingredients formed the impetus for this work. We present a set of emulsion production experiments using a model mayonnaise recipe with a weight percentage of dispersed oil of 80%, and illustrate the effect of rotor speed on the average size and size distributions of the resulting oil droplets. These size distributions were within the same range as a commercial mayonnaise. The maximum shear rates and corresponding shear stresses existing in the apparatus at different rotational speeds were estimated. A stabilization time related to rotor speed and geometry was also calculated. We discuss the scale-up of emulsion production, giving consideration to the length of time the shear stress is applied as well as to the magnitude of the shear stress.
Integration of Immunome With Disease-Gene Network Reveals Common Cellular Mechanisms Between IMIDs and Drug Repurposing Strategies

Objective Development and progression of immune-mediated inflammatory diseases (IMIDs) involve intricate dysregulation of the disease associated genes (DAGs) and their expressing immune cells. Due to the complex molecular mechanism, identifying the top disease associated cells (DACs) in IMIDs has been challenging. Here, we aim to identify the top DACs and DAGs to help understand the cellular mechanism involved in IMIDs and further explore therapeutic strategies. Method Using transcriptome profiles of 40 different immune cells, unsupervised machine learning, and disease-gene networks, we constructed the Disease-gene IMmune cell Expression (DIME) network, and identified top DACs and DAGs of 12 phenotypically different IMIDs. We compared the DIME networks of IMIDs to identify common pathways between them. We used the common pathways and publicly available drug-gene network to identify promising drug repurposing targets. Result We found CD4+Treg, CD4+Th1, and NK cells as top DACs in the inflammatory arthritis such as ankylosing spondylitis (AS), psoriatic arthritis, and rheumatoid arthritis (RA); neutrophils, granulocytes and BDCA1+CD14+ cells in systemic lupus erythematosus and systemic scleroderma; ILC2, CD4+Th1, CD4+Treg, and NK cells in the inflammatory bowel diseases (IBDs). We identified lymphoid cells (CD4+Th1, CD4+Treg, and NK) and their associated pathways to be important in HLA-B27 type diseases (psoriasis, AS, and IBDs) and in primary-joint-inflammation-based inflammatory arthritis (AS and RA). Based on the common cellular mechanisms, we identified lifitegrast as potential drug repurposing candidate for Crohn’s disease, and other IMIDs. Conclusion Our method identified top DACs, DAGs, common pathways, and proposed potential drug repurposing targets between IMIDs. To extend our method to other diseases, we built the DIME tool. Thus paving way for future (pre-)clinical research.