Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Content Validation using Expert Opinions of an Instrument Assessing the Lifestyle of Adults: The ‘PONTE A 100’ Questionnaire

Lifestyle, a major determinant of health status, comprises a number of habits and behaviours that form a part of daily life. People with healthy lifestyles have a better quality of life, suffer less disease, and have a longer life expectancy. This work reports the design and content validation of a questionnaire—the ‘PONTE A 100’ questionnaire—assessing the lifestyle of adults. This collects information across five dimensions—‘Eating Habits’, ‘Physical Activity’, ‘Smoking and use of Alcohol and other Drugs’, ‘Emotional Wellbeing’, and ‘Safety and Non-intentional Injuries’—via the answering of a total 33 items. Psychometric validation of the instrument’s content was obtained via expert opinions. This was performed by two rounds of assessment and involved 34 experts representing different health science disciplines (mean experience, 27.4 ± 9.4 years). At the end of each round, adjustments were made according to their recommendations. Agreement between the experts was examined using the Aiken V test. A final V value of 0.95 (95% CI, 0.90–1.00) was obtained for the questionnaire as a whole, highlighting the validity of its content. The questionnaire would therefore appear to be an appropriate instrument for assessing the lifestyle of adults.
On the predictability of economic structural change by the Poincaré–Bendixson theory

Purpose The three-sector framework (relating to agriculture, manufacturing and services) is one of the major concepts for studying the long-run change of the economic structure. This paper aims to discuss the system-theoretical classification of the structural change in the three-sector framework and, in particular, its predictability by the Poincaré–Bendixson theory. Design/methodology/approach This study compares the assumptions of the Poincaré–Bendixson theory to the typical axioms of structural change modeling, the empirical evidence on the geometrical properties of structural change trajectories and the methodological arguments referring to the laws of structural change. Findings The findings support the assumption that the structural change phenomenon is representable by a dynamical system that is predictable by the Poincaré–Bendixson theory. This result implies, among others, that in the long run, structural change is either transitory or cyclical and can be used in further geometrical/topological long-run structural change modeling and prediction. Originality/value Although widespread in mathematics, geometrical/topological modeling methods have not been used in modeling and prediction of long-run structural change, despite the fact that they seem to be predestined for this purpose owing to their global, system-theoretical nature, allowing for a reduction of ideology content of predictions and greater robustness of results.
Towards converged electron-impact excitation calculations of low-lying transitions in Fe ii

Absorption and emission lines of the iron-peak species Fe II are prominent in the infrared, optical, and ultraviolet spectra of a myriad of astrophysical sources, requiring extensive and highly reliable sets of atomic structure and collisional data for an accurate quantitative analysis. However, comparisons among existing calculations reveal large discrepancies in the effective collision strengths, often up to factors of three, highlighting the need for further steps towards new converged calculations. Here we report a new 20 conﬁguration, 6069 level atomic structure model, calculated using the multiconﬁgurational Dirac–Fock method. Collision strengths and effective collision strengths are presented, for a wide range of temperatures of astrophysical relevance, from substantial 262 level and 716 level Dirac R-matrix calculations, plus a 716 level Breit–Pauli R-matrix calculation. Convergence of the scattering calculations is discussed, and results are critically compared with existing data in the literature, providing us with error estimates for our data. As a consequence, we assign an uncertainty of ± 15 per cent to relevant forbidden and allowed transitions encompassed within a 50 level subset of the 716 level Dirac R-matrix data set. To illustrate the implications of our new data sets for the analysis of astronomical observations of Fe II , they are incorporated into the CLOUDY modelling code, sample Fe II spectra are generated and compared.
Quantum algorithms for distinguishing unitary operators

Distinguishing between unitary operators is one of the fundamental problems in the field of quantum computing. In the operator identification problem, we are given access to unknown operator U as a black-box that implements either an operator U1 or an operator U2, where U1 and U2 are arbitrary unitary operators and their operations are known to us. The goal is to determine whether U is an implementation of U1 or U2. In this thesis, two different versions of operator identification problem have been studied followed by a generalization. Firstly, we consider the case when an exact implementation of the operation of the operators U1 and U2 is given to us. We show that amplitude amplification, which is one of the important tools in quantum computing, can be used to design an efficient algorithm to solve this version of operator identification problem without error. But, in the quantum circuit theory, it may not be always possible to implement an arbitrary operator exactly and it may happen that a fabricated circuit implements a close approximation of the desired unitary operator. For the second version of the problem, we consider the case where the approximate implementation of the operation of the operators U1 and U2 is given to us; once again the goal is to design an algorithm to solve the problem. Finally, we consider a general version of the operator identification problem when the candidate set is of any size, say n. That is, U implements one of the operators present in the candidate set {U1, U2, . , Un} and we have to identify U . We propose novel approaches to solve all these three problems in this thesis.
Feasibility, Acceptability and Preliminary Outcomes of Embracing Your Life: An Online Self-Compassion Program for Emerging Adults

Due to the psychological toll COVID-19 has had on emerging adults, as well as normative mental health challenges of this developmental period, emerging adults are struggling more than ever with depression and loneliness. The objective of this study was to assess feasibility, acceptability, and preliminary psychosocial outcomes of Embracing Your Life, a self-compassion program for emerging adults, as self-compassion is associated with better mental health. Thirty-nine emerging adults (Mage = 23.7, 67% female) enrolled in a 6-session online program from July 2020 to January 2022 participated in this study. Results indicated the program was feasible; 81% of participants attended at least five out of six sessions. Qualitative feedback indicated high acceptability, with recommended changes to make the program more interactive. Participants reported significant improvements in self-compassion, resilience, loneliness, depression, stress, and emotion regulation. Conclusions are that Embracing Your Life is a promising, accessible intervention to address the mental health of emerging adults.
Bridging the Gap between Theory and Practice: Applying Problem based Learning Strategy to Improve Nursing Students’ Achievement

Background: There is now a rapid shift in the education process from teacher centered learning to student centered learning to achieve the intended learning outcome. The aim of the study was to evaluate the impact of applying problem-based learning strategy versus traditional learning strategy (control group) on improving the nursing students’ achievement. Subjects and Method: Design: A quasi-experimental design was used. Subjects and setting: All the 112 students at 4 th levels, who studied the course of nursing administration at Faculty of Nursing, Beni-Suef University and were assigned to problem-based learning and control group. Data collection methods: 3 structured questionnaires were used; Socio-demographic characteristics, critical thinking skills test, clinical learning environment structured questionnaire. Course outcomes measurement report was used to assess the students’ academic achievement Results: the mean score of critical thinking and clinical area satisfaction among problem-based learning group are significantly higher than the control group (p= 0.0001 and 0.001) respectively. The mean percentage of achieving the course learning out comes (skills and values) at problem-based learning group are significantly higher than the control group (p <0.05). Conclusion: The study results concluded that the problem-based learning approach had significant impact on improving the critical thinking skills, clinical area satisfaction
Impact of Peptide Structure on Colonic Stability and Tissue Permeability

Most marketed peptide drugs are administered parenterally due to their inherent gastrointestinal (GI) instability and poor permeability across the GI epithelium. Several molecular design techniques, such as cyclisation and D-amino acid (D-AA) substitution, have been proposed to improve oral peptide drug bioavailability. However, very few of these techniques have been translated to the clinic. In addition, little is known about how synthetic peptide design may improve stability and permeability in the colon, a key site for the treatment of inflammatory bowel disease and colorectal cancer. In this study, we investigated the impact of various cyclisation modifications and D-AA substitutions on the enzymatic stability and colonic tissue permeability of native oxytocin and 11 oxytocin-based peptides. Results showed that the disulfide bond cyclisation present in native oxytocin provided an improved stability in a human colon model compared to a linear oxytocin derivative. Chloroacetyl cyclisation increased native oxytocin stability in the colonic model at 1.5 h by 30.0%, whereas thioether and N-terminal acetylated cyclisations offered no additional protection at 1.5 h. The site and number of D-AA substitutions were found to be critical for stability, with three D-AAs at Tyr, Ile and Leu, improving native oxytocin stability at 1.5 h in both linear and cyclic structures by 58.2% and 79.1%, respectively. Substitution of three D-AAs into native cyclic oxytocin significantly increased peptide permeability across rat colonic tissue; this may be because D-AA substitution favourably altered the peptide’s secondary structure. This study is the first to show how the strategic design of peptide therapeutics could enable their delivery to the colon via the oral route.
DESIGN OF COMPACT AND DISCRIMINATIVE DICTIONARIES

The objective of this research work is to design compact and discriminative dictionaries for e�ective classi�cation. The motivation stems from the fact that dictionaries inherently contain redundant dictionary atoms. This is because the aim of dictionary learning is reconstruction, not classi�cation. In this thesis, we propose methods to obtain minimum number discriminative dictionary atoms for e�ective classi�cation and also reduced computational time. First, we propose a classi�cation scheme where an example is assigned to a class based on the weight assigned to both maximum projection and minimum reconstruction error. Here, the input data is learned by K-SVD dictionary learning which alternates between sparse coding and dictionary update. For sparse coding, orthogonal matching pursuit (OMP) is used and for dictionary update, singular value decomposition is used. This way of classi�cation though e�ective, still there is a scope to improve dictionary learning by removing redundant atoms because our goal is not reconstruction. In order to remove such redundant atoms, we propose two approaches based on information theory to obtain compact discriminative dictionaries. In the �rst approach, we remove redundant atoms from the dictionary while maintaining discriminative information. Speci�cally, we propose a constraint optimization problem which minimizes the mutual information between optimized dictionary and initial dictionary while maximizing mutual information between class labels and optimized dictionary. This helps to determine information loss between before and after the dictionary optimization. To compute information loss, we use Jensen-Shannon diver- gence with adaptive weights to compare class distributions of each dictionary atom. The advantage of Jensen-Shannon divergence is its computational e�ciency rather than calculating information loss from mutual information.
miRNAs as Modern Biomarkers in Asthma Therapy

Asthma is a chronic inflammatory disease of the airways characterized by shortness of breath, chest tightness, coughing, and wheezing. For several decades (approximately 30 years), miRNAs and their role in asthma have been of constant interest among scientists. These small, non-coding RNA fragments, 18–25 nucleotides long, regulate gene expression at the post-transcriptional level by binding to the target mRNA. In this way, they affect several biological processes, e.g., shaping airway structures, producing cytokines and immune mediators, and controlling defense mechanisms. Publications confirm their potential role in the diagnosis and monitoring of the disease, but only some articles address the use of miRNAs in the treatment of asthma. The following paper reviews the latest available studies and presents miRNAs as a useful tool for predicting the effectiveness of the included treatment, early diagnosis of exacerbations, and in assessing patient compliance for different groups of drugs used in asthma. The latest known pathways underlying the pathogenesis of the disease, which are associated with a change in miRNA expression, may be precise targets of therapeutic activity in the future.
Methods of Comparison of Code Combinations with Message Elements from the Source

This article presents an algorithm for finding a way to number the elements of the original message, which allows minimizing additional distortions that occur due to errors in a discrete channel. The algorithm consists in finding a way to compare the distortion matrix of the elements of the original signal resulting from the action of various errors in a discrete channel with the matrix of code distances constructed for any primary coding method. A constructive mechanism for estimating the minimum and maximum values of the additional distortions of the elements of the original signal is proposed, based on the displacement of rows and columns, due to which the significant zones for which the calculation of the magnitude of the distortions are calculated fall, respectively, with the numbers having the smallest or largest values.
Ethical leadership, organizational climate, team work effectiveness, and employe performance

This study aims to analyze the influence of ethical leadership, organizational climate on employee performance with team work effectiveness as variable interverning. This study was carried out to the employees of PT. Misaja Mitra Pati. The population of this study was around 110 employees of PT. Misaja Mitra Pati. Based on purposive sampling there were 110 respondens. Data analysis of this study using SEM-PLS. The result of hypothesis test that shows the influence of ethical leadership on team work effectiveness and organizational climate on team work effectiveness is accepted. The result of hypothesis test that shows the influence of ethical leadership on employee performance and organizational climate on employee performance is accepted. The result of hypothesis test that shows the influence of team work effectiveness on employee performance is accepted. Keywords: Ethical leadership; Organizational climate; Team work effectiveness; Employee performance.
Large Eddy Simulations of a Coolant Flow in Spacer Grid Fuel Assemblies With a Spectral Element Solver

In this study we used Nek5000, an open-source, high-order spectral element CFD code developed at Argonne National Laboratory (ANL), to model the coolant flow in spacer grids. Two fuel assembly configurations were studied: 2 × 2 and 5 × 5 fuel rod arrangements. The simulations for the 2 × 2 case were based on previous studies, simulating one span of the 2 × 2 fuel rod configuration including a surrogate spacer grid and mixing vane design with typical features of spacers for energy production. Dual periodic boundary conditions were applied in the spanwise direction to take the crossflow into consideration. The study of the 5 × 5 fuel assembly was performed as part of the ANL–Framatome collaboration for advancing computational fluid dynamics (CFD) tools. An advanced numerical model was developed to simulate the experimental setup provided by Framatome. For the 5 × 5 fuel assembly study, two cases of flow geometry were simulated with Nek5000: balanced and unbalanced configurations. In the balanced flow the coolant was entering the fuel rod assembly through 121 uniformly spaced inlet holes arranged in an 11 × 11 matrix. The unbalanced case, on the other hand, featured 14 larger holes placed on only one side of the horizontal plane. Nek5000 accepts only hexahedral meshes, which bring a great challenge to the meshing process for a spacer grid fuel assembly. A tet-to-hex meshing strategy was applied to handle the complex geometric features. A tetrahedral mesh was created first, and then each tetrahedral element was converted into four hexahedral elements. Boundary layers were extruded to fit to the exact geometry. In order to account for transient flow characteristics, the large eddy simulation approach was applied in this study. The employed subgrid-scale model relies on explicit filtering, which has been proven valid for many engineering-scale simulations. We present here the simulation results obtained for both the 2 × 2 and 5 × 5 fuel assemblies.
The transition from traditional face-to-face teaching to blended learning - implications and challenges from a mathematics discipline perspective

Despite the drive at Australian universities towards blended learning, the research on the effectiveness and successful implementation of this model is lagging behind in some disciplines. In this paper we highlight the need for targeted research into blended learning in mathematics at more than an individual unit scale, particularly in the context of the flipped classroom. The literature on the flipped classroom in mathematics is limited to reports from enthusiastic individuals who have flipped their units with more or less success, with no reports on the sustainability of these implementations. We take the perspective of a discipline that already faces certain challenges with respect to student preparedness and special needs to facilitate online learning. From the literature, we extract research questions that need to be addressed urgently, and that may in the future be used to form a discipline-specific framework for introducing blended learning.
Digital-Based Academic Management Service : A Case Study in Open University

This study aims to analyze the digital-based academic management services for students of the Open University Elementary School Teacher Education study program. This research approach is qualitative with a case study method. The subject of this research is students and the head of the tertiary institution. Data collection was carried out using documents, observations, questionnaires and interviews. Data analysis refers to qualitative research. The results showed that 1) OU's planning management is considered very good for the process of providing the education needed by students. 2) OU coordinates and places the right people in every part needed in the implementation of education at OU so that the academic services provided to students can be maximized and meet student needs. 3) The implementation of OU's service management is carried out by the operational procedures set by OU. OU is developing and improving the quality of management to provide excellent service to students. 4) The evaluation management that OU already has also shown an evaluation process that is systematic and by the procedures owned by OU in providing services to students
Are YouTube videos a reliable source of information about body dysmorphic disorder?

Purpose Body dysmorphic disorder (BDD) is characterized by a preoccupation with a non-existing or minimal defect in appearance. It affects around 2% of the population, causes distress in daily functioning and reduces the quality of life. The aim of this study was to evaluate the usefulness and the quality of the most viewed videos regarding BDD on YouTube. Methods YouTube was searched for the keywords “body dysmorphia” and “dysmorphophobia”. The validated DISCERN instrument and the Global Quality Score (GQS) were used to assess video quality. The Video Power Index (VPI) score was used to evaluate the popularity of videos. Results Only 3 videos were rated as good quality based on the DISCERN criteria. The mean DISCERN score between the raters was 32.89 ± 9.23, while the mean GCQ score was 2.84 ± 1.03. Even though only 23.7% of the videos were uploaded by a healthcare source, there was a significant difference between DISCERN scores depending on the source of the video: healthcare – 42 mean vs. non-healthcare – 30.07 mean (p = 0.0035). The mean score for the VPI was 2757 (range, 244.57-11,647.12). Conclusions Our study showed that the quality of BDD-related videos on YouTube is poor. Physicians or healthcare organizations should publish more medical content on YouTube, increasing the amount of more reliable and better-quality content for patients.
Instability mechanism for miscible two‐fluid channel flow with wall slip

Modal analysis of the Reynolds‐Orr energy equation for a miscible viscosity stratified slippery channel flow is deliberated. The main aim is to extend the earlier work of Ghosh et al . (Phys. Fluid, Vol. 26, 014107 (2014)) to discusses the instability mechanism, which has not been investigated so far. The generalized equation governing the average rate of change of disturbance kinetic energy is evaluated after solving the Orr‐Sommerfeld boundary value problem. The analysis includes viscosity perturbation and slip boundary condition. Maximum growth rate curves for two‐dimensional disturbances reconfirm the existence of new unstable modes at low Reynolds numbers. Stabilizing and destabilizing effects of wall velocity slip are found depending on parameter regime. The physical mechanism responsible for the dual role of the wall slip is brought to light by estimating the alteration of kinetic energy due to the production and dissipation of energy originating from various factors inside the perturbed flow. Slip boundary condition at the wall affects the base flow as well as perturbations. Our numerical calculations here show how the wall velocity slip gives impact on each energy terms. The results ensure that, the new unstable mode is occurred due to the overlap of velocity and viscosity disturbance vortices. Stability characteristics of this overlap instability are ruled by the energy sourcing from the Reynolds stress and the viscosity perturbation gradient effect.