Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Efficacy in Entrepreneurship for Science Teacher Candidates: A Comparative Study of Gender and Semester

This study aims to determine differences in student perceptions about self-efficacy in the field of entrepreneurship based on gender and semester. This study is an exploratory research with 35 biology education students as subjects. The research instrument used was a closed questionnaire with degraded answers according to a Likert scale that had been declared valid. Analysis of research data used is descriptive statistics and inferential statistics with t-test and Anova test at a significance level of 5%. The results of the study show that (1) students' perceptions of self-efficacy in the field of entrepreneurship has an average score of male students at 3.16 with the Good category and women at 3.10, while semester IV students are at 3.09 with the Good category, semester VI is at 3.12 with the Good category, and semester VIII of 3.15 in the Good category; (2) there is no significant difference in students' perceptions of self-efficacy in the field of entrepreneurship between male and female gender, as evidenced by a significance value of 0.716 greater than the alpha testing value of 0.05 (>0.05); (3) there is no significant difference in the perceptions of semester IV, VI, VIII students about self-efficacy in the field of entrepreneurship as evidenced by a significance value of 0.959 greater than the alpha testing value of 0.05 (>0.05).
Mathematical model for the control of infectious disease

We proposed a mathematical model of infectious disease dynamics. The model is a system of first order ordinary differential equations. The population is partitioned into three compartments of Susceptible S(t) , Infected I(t) and Recovered R(t) . Two equilibria states exist: the disease-free equilibrium which is locally asymptotically stable if R o 1. Numerical simulation of the model shows that an increase in vaccination leads to low disease prevalence in a population. Keywords: Infectious Disease, Equilibrium States, Basic Reproduction Number
Interpretation of special relativity as applied to earth-centered locally inertial coordinate systems in Global Positioning System satellite experiments

In the Global Positioning System (GPS) satellites, either the earth-centered, earth-fixed, reference frame (ECEF frame) or the earth-centered locally inertial (ECI) coordinate system is used for calculations. In the application of the theory of special relativity to GPS satellites, we have to use the ECEF frame, which is practically a reference frame which is at rest. We point out that another reference frame at rest ( for example, one based on the cosmic microwave background or the solar system) can be applied to GPS satellites experiments, however, the calculation needs not only special relativity, but also general relativity. PACS number: 03.30. +p
Relationship Between Information Literacy Skills and Use of Library Resources by Postgraduate Library and Information Science Students in Anambra State, Nigeria

This study determined the relationship between information literacy skills and use of library resources by postgraduate library and information science students in Anambra State, Nigeria. Three research questions and one hypothesis guided the study. Correlational survey design was adopted for the study. The population consisted of all forty-four Masters and Ph.D LIS students of the universities in Anambra State. The entire population was used due to the size. Two instruments, Information Literacy Skills Test (ILST) and Use of Library Resources Questionnaires (ULRQ) were used for data collection. Mean and standard deviation were used to analyze data for research question one, percentage scores were used for research question two while Pearson correlation coefficient was used to analyze data for research question three and test hypothesis at 0.05 level of significance. Kuder-Richardson formula (KR-20) and Cronbach alpha were employed in testing the internal consistency of the instrument and reliability coefficients of 0.88 for ILST and 0.82 for ULRQ were obtained. The findings revealed that the postgraduate students possessed moderate information literacy skills, use all the available library resources; also, there is a positive relationship between information literacy skills possessed by the students and their use of library resources. Based on the findings it was concluded that information literacy skills possessed by LIS postgraduate students help them maximize their use of library resources. It was recommended among others that students should make efforts to improve their information literacy skills through programmes such as seminars, workshops, user education and tutorials organized by library or other research institutes while curriculum planners should entrench information literacy programme in university programmes.
A chain rule in L 1 (div; Ω) and its applications to lower semicontinuity

A chain rule in the space L 1 (div; Ω) is obtained under weak regularity con- ditions. This chain rule has important applications in the study of lower semicontinuity problems for general functionals of the form Ω f (x, u, ∇u) dx with respect to strong con- vergence in L 1 (Ω) . Classical results of Serrin and of De Giorgi, Buttazzo and Dal Maso are extended and generalized.
Management to Promote Participatory Budgeting in the Closing of Gaps in Basic Public Services in the Provincial Condorcanqui - Amazonas Department

Purpose: The purpose of the study was to analyse the management to promote participatory budgeting as an effective tool in closing gaps in basic public services. The main objective was to review existing literature and highlight the contributions and rationale of local government participation and management in the context of municipal public administration. Theoretical framework: Participatory budgeting is mentioned as a key concept in the study. Participatory budgeting involves the active participation of the community in the process of allocating public resources, allowing for greater transparency and decision-making based on the needs and priorities of the population. Design/Methodology/Approach: The study is based on a systematic literature review of descriptive typology, following the guidelines set out in the PRISMA statement. Inclusion and exclusion criteria were established to select relevant papers, which were then synthesised into a matrix that facilitated content analysis by year, country of resource, areas of knowledge and substantive contributions of the review. Findings: Analytical categories, such as participation and local government management, provide examples of exceptional content undervalued by the systems to which they belong. In addition, it is noted that the research revaluates these contributions and the logic of their emergence in the context of public administration. Social, practical and research implications: At the social level, the study highlights the importance of participatory budgeting as a tool that promotes citizen participation in decision-making and the closing of gaps in basic public services. In practical terms, it suggests that a local public administration committed to paradigm shifts in public policy and the provision of high quality public services can benefit from the implementation of participatory budgeting. In terms of research implications, it is mentioned that the research revalues the contributions of the analytical categories and the logic of their emergence. Originality/value: It is highlighted that a systematic literature review was conducted following the PRISMA guidelines, which implies a rigorous approach and a solid basis for the findings and conclusions presented. In addition, the value of citizen participation and local government management in the context of municipal public administration is emphasised.
Exploring coping strategies of emergency medical technicians against COVID-19 stress: a qualitative study

Introduction The COVID-19 pandemic has been shown to cause enormous psychological burden among health care workers, including first responders. However, the psychological well-being of first responders, essential in the fight against COVID-19 pandemic, has often been ignored. This qualitative study aimed to explore the coping strategies used by EMTs to manage stress during the pandemic. Methods The research was designed as a qualitative study, utilizing a thematic analysis framework. Semi-structured interviews were conducted with 15 EMTs from a single geographic area between September 2022 and December 2022. The data were analyzed using Braun and Clarke analytic techniques, and this study used Lincoln and Guba’s to assess the reliability of the data. Results Four main coping strategies emerged from the data: seeking social support, practicing self-care, utilizing coping mechanisms, and finding meaning and purpose in work. EMTs sought support from both professional and personal sources, engaged in physical and emotional self-care, used humor and distraction as coping mechanisms, and found meaning and purpose in helping others and growing as professionals. Conclusion Based on the extracted results from the study on EMTs in Iran, it can be concluded that the importance of social support cannot be overstated, as it serves as a crucial buffer against the negative effects of stress and trauma. The findings suggest that addressing the social and emotional needs of EMTs is important for promoting their mental health and well-being during the pandemic.
Blended Finance: A Tool for Inciting Commercial Financial Institutions to Provide Financing for Machinery Acquisition for SMEs in Cameroon

As is the case of most economies around the world, the relevance of SMEs to the well-being of the Cameroonian economy is quite significant as they contribute meaningfully to employment creation, GDP as well as poverty alleviation. However, this category of businesses in Cameroon tends to implement very low levels of automation due to the lack of financing for equipment /machinery acquisition. This inevitably leads to high production costs and the inability to scale up production as multiple tasks are carried out manually. Certain opportunities cannot even be exploited as SMEs tend to congregate in sectors that are labor-intensive while avoiding technology and machinery-intensive sectors. Despite this situation, the OECD developed the blended finance tool which involves the usage of non-business funds such as developmental/ philanthropic funds to mobilize and orientate private capital towards sectors that will otherwise be neglected. It was therefore the purpose of this study to investigate if this tool can have a statistically significant impact on the willingness of financial institutions to finance machinery/ equipment acquisition in SMEs in Cameroon. Data collected from 232 bank and microfinance employees across Cameroon using a pretested questionnaire was analyzed using the One-way ANOVA analysis in SPSS. The results revealed a statistically significant impact of blended finance on the willingness of financial institutions to finance machinery/equipment acquisition in SMEs in Cameroon. It is therefore recommended that the governments as well as NGOs interested in SMEs make use of this tool to incite financial institutions to provide financing for this category of businesses.
What is topological about topological dynamics

We consider various notions from the theory of dynamical systems from a topological point of view. Many of these notions can be sensibly defined either in terms of (finite) open covers or uniformities. These Hausdorff or uniform versions coincide in compact Hausdorff spaces and are equivalent to the standard definition stated in terms of a metric in compact metric spaces. We show for example that in a Tychonoff space, transitivity and dense periodic points imply (uniform) sensitivity to initial conditions. We generalise Bryant's result that a compact Hausdorff space admitting a $c$-expansive homeomorphism in the obvious uniform sense is metrizable. We study versions of shadowing, generalising a number of well-known results to the topological setting, and internal chain transitivity, showing for example that $ω$-limit sets are (uniform) internally chain transitive and weak incompressibility is equivalent to (uniform) internal chain transitivity in compact spaces.
Dynamical and radiative processes in the Upper Troposphere/Lower Stratosphere

The overall aim of this thesis is to gain a better understanding of certain key attributes and processes in the Upper Troposphere/Lower Stratosphere (UTLS). This work involves exploring the interactions between radiation and dynamics which ultimately affect the destination of chemical constituents. A recently identified feature of the extratropical upper troposphere and lower stratosphere is a region of stable air located just above the tropopause known as the tropopause inversion layer (TIL) which appears as a peak in the stratification. The first main chapter of the thesis focuses on elucidating the large scale dynamical mechanisms which lead to the formation of the TIL by exploring the downward influence of the stratosphere on the UTLS region. Model experiments illustrate that the TIL can arise as a result of the dynamics and the wave driving leads to an upwelling structure that results in a TIL. The maximum value and the shape of the TIL peak vary considerable depending on how the observational data is processed. A common method involves averaging with respect to the tropopause. The details of this averaging are found to affect the shape and strength of the TIL. There exist a double peak in the radiative heating (and correspondingly in the upwelling) in the tropical lower stratosphere and radiative calculations reveal that part of it can be considered as imposed. Radiative process are usually thought of as relaxational with waves being regarded as driving the circulation. Idealised model experiments show that imposing a heating leads to an upwelling and the structure of the latter depends on the aspect ratio of the imposed heating. In such experiments, the waves form part of the response. The last core chapter looks at the relatively large annual cycle in temperatures at around 70 hPa in the UTLS. The annual cycle has peak to peak amplitude of about 7 K in observational data. Using radiative experiments that take into account the time evolution of trace gases, the effect of ozone and water vapour on temperatures is quantified. Water vapour is found to play a significant role in this region, especially lower down in the region of the cold point, with important non local influences on temperature. A further set of experiments reveals how the temperatures are affected by the interactions between the dynamics and radiation.
Enhanced result on stability analysis of randomly occurring uncertain parameters, leakage, and impulsive BAM neural networks with time‐varying delays: Discrete‐time case

In real‐world problems, neural networks play an increasingly important role in terms of both theory and applications. In this paper, the asymptotic stability analysis issue is investigated for uncertain impulsive discrete‐time bidirectional associative memory neural networks with leakage and time‐varying delays. With the assistance of novel summation inequality, reciprocally convex combination technique, and triple Lyapunov‐Krasovskii functionals terms, many cases of time‐varying delays are examined to certify the stability of neural networks. Here, the uncertainties are considered as a randomly occurring parameter uncertainty, and it conforms certain mutually uncorrelated Bernoulli‐distributed white noise sequences. An important feature of the results reported here is that the probability of occurrence of the parameter uncertainties specify a priori estimate. Finally, numerical examples are proposed to expose the capability and efficiency of our research work with the help of the LMI control toolbox in MATLAB.
Journal of Interactive Online Learning Synchronous Problem-based E-learning (epbl) in Interprofessional Health Science Education

Health Science teams are increasingly interprofessional and often require use of information communication technology. These shifts result in a need for health science students to learn online interprofessional teamwork skills early in their training. In response, one interprofessional communication skills course was remodelled from traditional Problem-based learning (PBL) to include learning in an online collaborative (team-based) environment (Elluminate). This study evaluates the types of interactions facilitated by an interprofessional e-problem-based learning (ePBL) activity. A qualitative analysis of recorded discussions in Elluminate yielded two major categories of results. First, the online learning environment was shown to facilitate small-group collaborative interactions by updating older tools, in terms of offering intuitive, accurate, and multiple communication tools, and enabling novel forms of interaction. Second, the online learning environment prompted discussion of technology-facilitated communication difficulties in a way that led to the remediation of these difficulties. These results suggest that, while there is a need for further research on the relationship between online synchronous (real-time) learning environments and collaborative learning, ePBL can enable positive and novel forms of student interaction and facilitate student learning.
XYZ states at BESIII

The BESIII experiment at the Beijing Electron Positron Collider (BEPCII) provided a significant contribution to the charmonium-like state spectroscopy thanks to the large data samples collected in the center of mass energy region between 3.8 and 4.6 GeV. New and surprising resonant states have been discovered. Their interpretation goes beyond the traditional quark and anti-quark model paradigm of the charmonium: for example, the two isospin triplets Zc(3900) and Zc(4020) that are electrically charged quarkonium-like states. In this proceeding, it will be reported recent studies on XYZ states made by BESIII in particular the radiative transition between various states, i.e. in the channel Y(4260) → γX(3872).
Machine learning chained neural network analysis of oxygen transport amplifies the physiological relevance of vascularized microphysiological systems

Abstract Since every biological system requires capillaries to support its oxygenation, design of engineered preclinical models of such systems, for example, vascularized microphysiological systems (vMPS) have gained attention enhancing the physiological relevance of human biology and therapies. But the physiology and function of formed vessels in the vMPS is currently assessed by non‐standardized, user‐dependent, and simple morphological metrics that poorly relate to the fundamental function of oxygenation of organs. Here, a chained neural network is engineered and trained using morphological metrics derived from a diverse set of vMPS representing random combinations of factors that influence the vascular network architecture of a tissue. This machine‐learned algorithm outputs a singular measure, termed as vascular network quality index (VNQI). Cross‐correlation of morphological metrics and VNQI against measured oxygen levels within vMPS revealed that VNQI correlated the most with oxygen measurements. VNQI is sensitive to the determinants of vascular networks and it consistently correlates better to the measured oxygen than morphological metrics alone. Finally, the VNQI is positively associated with the functional outcomes of cell transplantation therapies, shown in the vascularized islet‐chip challenged with hypoxia. Therefore, adoption of this tool will amplify the predictions and enable standardization of organ‐chips, transplant models, and other cell biosystems.
Comparison of ultrasonographic findings in cats with and without azotaemia 1

13 Objective. To identify the renal ultrasonographic (US) findings most strongly associated with 14 azotaemia in cats. 15 Methods. Ultrasonographic findings in 238 cats with (serum creatinine >180μmol/L) and 270 cats 16 without azotaemia were compared in a retrospective case-control study. Cats with pre-renal 17 azotaemia or urethral obstruction were excluded. Data extracted from the medical records included 18 age, body weight and body condition score (BCS). Quantitative and subjective US findings were 19 extracted from archived ultrasound images and contemporaneous reports. 20 Results. In non-azotaemic cats, mean renal length was 40.1mm (SD 5.5mm). Male cats had larger 21 kidneys than female cats (mean difference 5.2mm, p=0.001) and on average the right kidney was 22 slightly larger than the left (mean difference 1.6mm, p=0.01). Azotaemic cats had significantly lower 23 mean body weight and BCS, and greater mean age and renal pelvic diameter. Renal pelvic diameter 24 was negatively correlated with urine specific gravity (ρ -0.44, p<0.001). Compared to non-azotaemic 25 cats, there was no difference in mean renal length of azotaemic cats because the numbers with 26 enlarged kidneys and small kidneys were similar. Radiologists’ subjective assessments of renal size 27 differed markedly between azotaemic and non-azotaemic cats, with azotaemic cats more likely to be 28 recorded falsely as having abnormally small or enlarged kidneys. US findings significantly associated 29 with azotaemia were perinephric fluid (OR 26.4, CI 3.4-207.7), small kidneys (OR 8.4, CI 4.0-17.4), 30 hyperechoic renal cortex (OR 4.1, CI 2.2-7.6), loss of corticomedullary differentiation (OR 4.1, CI 1.831 9.6), renal calculi (OR 2.7, CI 1.4-4.9), enlarged kidneys (OR 2.5, CI 1.2-5.5) and dilated renal pelvis 32 (OR 1.6, CI 1.3-1.9). 33 Conclusion and relevance. Perinephric fluid was the US finding most strongly associated with 34 azotaemia in this study and may merit more emphasis than it has received to date. Bias in 35 radiologists’ subjective assessments of renal size suggests that other subjective findings will also be 36 biased. 37
De effecten van betrouwbaarheid van onderwijsdiploma’s op arbeidsproductiviteit: toepassing van een simulatiemodel

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Resonance one-body scattering on a junction

In this paper we propose a synthesis of various approaches mixing computational modeling, solving complex and sometimes ill-posed inverse problems and the development of efﬁcient analytic perturbation procedures, which offer an analytic path to the solution of the mathematical design and optimization problems for constructing quantum networks with prescribed transport properties. We consider the simplest sort of 2 𝐷 quantum networks — the junctions — and focus on the problems of the resonance scattering, caused by the spectral properties of the relevant Schr¨odinger operator on the vertex domain. Typically, 1 -D features appear in the form of the single-mode scattering on the ﬁrst spectral (energy) band in the resulting solvable model, but the analysis of multi-mode scattering is possible with our methodology. However, this comes at the price of assuming realistic (as opposed to quite general) matching between the scattering Ansatz in the wires and the solution of the Schr¨odinger equation on the vertex domain. Here this matching is based on a recently developed version of the Dirichlet-to-Neumann map. We are further able to observe the transformation of the discrete spectrum of the Schr¨odinger operator on the vertex domain into the resonance features of the relevant scattering problem.