Miracle-dz/UniFAR-FTUs huggingface dataset:
Kreativität und Sicherheit im Labor - ein Widerspruch?

Labordidaktische Workshops zur Förderung von Kreativität in der Hochschullehre sehen sich mit der Hürde konfrontiert, dass viele innovative Lehr-/Lernszenarien – insbesondere solche, die exploratives Lernen ermöglichen sollen – von Lehrenden mit dem Hinweis auf Konflikte mit den Sicherheitsanforderungen oft nicht umgesetzt werden. Die Wissenschaftliche Weiterbildung (WWB) der ZEWK der TU Berlin, das Zentrum für HochschulBildung und die Ingenieurdidaktik der TU Dortmund haben vor diesem Hintergrund einen labordidaktischen Workshop konzipiert und umgesetzt, der beide Aspekte aufgreift: Kreativität und Sicherheit im Labor. Dabei zeigen sich unterschiedliche didaktische Ansätze: instruktive Sicherheitsunterweisung im Kontext konkreter gesetzlicher Anforderungen vs. ergebnisoffene, explorative Lehre. Diese müssen zunächst adressiert werden, um die notwendige Sicherheit der Lehrenden durch fundiertes Wissen über die Möglichkeiten und Voraussetzungen für sicheres studentisches Arbeiten im Labor herzustellen.
AI image-based diagnosis systems: how to implement them?

Artificial intelligence (AI) is starting to be widely used in the medical field and has great potential benefits to help doctors and patients. However, it also raises new challenges and problems. This paper analyzed the existing capacities of AI to make a diagnosis and assessed the legal consequences. We present AI medical image analysis systems developed in Belarus. International practice on how AI-systems are implemented in medicine is analyzed. Russian experience in developing standards to test and use AI systems in hospitals is described. Finally, the paper put forward some suggestions on how to improve the legal framework of AI systems using in medicine.
MONITORING AND EVALUATING OF THE PERFORMANCE OF GOVERNMENT HEALTH UNITS BY ADOPTING THE PROGRAMS AND PERFORMANCE BUDGETING: A CASE STUDY

The purpose of the current research is to focus on the concept and significance of programs and performance budgeting as one of the contemporary approaches to creating the general budget, since this approach has numerous benefits when it comes to monitoring and evaluating performance. This modern method has been applied in many countries of the world and has proven successful. The countries of the world continue to follow the traditional method (budget items) in preparing the general budget. Therefore, the program and performance budgeting was adopted and applied in the Basra Health Department / the third governorate sector which is the research sample. One of the most essential results reached from this research is the need for the programs and performance budgeting as a tool of monitoring to compare between financial allocation and actual expenditure. Deviations from the set plan were discovered and these deviations were addressed. Moreover, it is necessary to pay attention to performance indicators as an indicator for measuring the objectives of the success of the unit with high efficiency and effectiveness or not.
A Case Report: Korean Medicine Treatment for a Systemic Lupus Erythematosus Patient Persistently Complaining of Fatigue and Chest Tightness

Objective: This study reported the improved symptoms of integrative Korean medicine-based treatment in a patient diagnosed with Systemic Lupus Erythematosus (SLE) who persistently complained of fatigue and chest tightness.Methods: A 51-year-old female SLE patient persistently complaining of fatigue and chest tightness underwent an 18-day treatment with Kracie Shihogayonggolmoryo-tang, Cheongpajeon-H, Gwanjeol-go, acupuncture, pharmacopuncture, cupping therapy, deep tissue meridian hot pack therapy, manual therapy, Interferential Current Therapy, and Extracorporeal Shock Wave Therapy. The Brief Fatigue Inventory (BFI) and Numeric Rating Scale (NRS) for each symptom were measured on admission, at one week, two weeks of hospitalization, and upon discharge. Clinical outcomes were assessed using these two figures.Results: After treatment, there was a reduction in the BFI score (7 to 3). The NRS score of chest tightness with hot flashes decreased from 8 to 5, neck pain lessened from 7 to 5, pain in both ankles diminished from 6 to 4, the cold hypersensitivity of both feet fell from 6 to 4, and heartburn decreased from 5 to 2. In order, the biggest clinical improvement was to heartburn, fatigue, and chest tightness with hot flashes.Conclusion: This case study shows that integrative Korean medicine-based treatment can improve symptoms of a Systemic Lupus Erythematosus patient persistently complaining of fatigue and chest tightness with hot flashes and suggests that Shihogayonggolmoryo-tang may be an effective option for managing and treating SLE patients.
Pre-tuned Principal Component Regression and Several Variants

The regression coefficient estimates from ordinary least squares (OLS) have a low probability of being close to the real value when there is a multicollinearity problem in the design matrix. In order to combat this problem, many regularized methods have been introduced. Principal components regression (PCR) is an important analysis tool for dealing with multicollinearity and high-dimensionality. In conventional PCR, the first step is to change the original predictors to orthogonal principal components (PC’s) by a linear transformation. These PC’s correspond to the eigenvalues which are sorted in a decreasing order. The next step is to regress the response on a number of the PC’s and to compute the model selection criteria such as AIC, BIC, GCV for each model. The final step is to compare the criteria values and choose the model corresponding to the smallest value. However, the traditional way of doing PCR is quite computationally inefficient. Thus, we proposed three competitive models to overcome this problem. In these proposed methods, the number of PC’s can be automatically determined. The main idea involves approximation of the indicator threshold function with a smooth sigmoid surrogate function, yet in several different ways. In our first model PTPCR, we used the logistic function with a large fixed shape parameter and an undetermined threshold parameter to replace the indicate function. Then the selection criterion can be treated as an objective function for optimization to estimate the threshold parameter. The PC’s to be included in the final model can be obtained by selecting those with eigenvalues greater than the estimated threshold parameter. This reformulation facilitates direct estimation of the best number of PC’s, leading to much improved computational efficiency. Apart from the PTPCR, we proposed another two models: PTPCR-V1 and
Limits of control performance for distributed networked control systems in presence of communication delays

In terms of computational complexity and fault tolerance, distributed networked control systems (DNCSs) is favorable for large‐scale processes. However, it poses additional limitations on the achievable control performance, especially when communication delay is present. The conventional minimum variance (MV) benchmarks mainly consider the limitations caused by the system itself and can give overly estimates of achievable performance when applied to the systems under distributed networked control. This paper proposes a solution to the MV benchmark for DNCSs considering both system time delays and time‐invariant communication delays. Furthermore, lower and upper bounds of the MV benchmark are proposed to assess the performance of DNCSs when there are time‐varying communication delays. These results are useful for evaluating the potential performance improvement if a DNCS is implemented to replace a decentralized control system. The proposed results are illustrated by a simulation example.
Parametric or non-parametric: analysis of rainfall time series at a Hungarian meteorological station

⎯ Parametric methods (linear trend, t-test for slope) for analyzing time series are the simplest methods to get insight to the changes in a variable over time. These methods have a requirement for normal distribution of the population that can be a limit for application. Non-parametric methods are distribution-free methods, and investigators can have a more sophisticated view to the variable tendencies in time series. 144-year-long time series of precipitation data measured at the meteorological station in Keszthely, Hungary (latitude: 46°44′, longitude: 17°14′, elevation: 124 m above Baltic sea level) were analyzed by Mann-Kendall trend test for detecting tendencies in the time series. Sen’s slope estimator was applied to estimate the slope of the linear changes. In average, 44 mm decline can be shown for 100 years in the annual sum, 29.7 mm and 25.7 mm in the precipitation sum of spring and autumn (in 100 years), respectively. The rainfall sum of winter increased by 15.4 mm. Sums of April, May, and October declined by 10.8 mm, 13 mm, and 20.9 mm, respectively, according to one-tailed Mann-Kendall tests. These results were compared to the previous results of the authors carried out by parametric methods. Results of two-tailed tests of parametric and non-parametric methods are easily comparable. Parametric method (linear trend) proved significant decreasing tendencies for spring, April, and October. Nonparametric Mann-Kendall tests show significant declining tendencies for spring, autumn, and October. Key-words: Kendall’s tau, Mann-Kendall trend test, Sen’s slope estimator, precipitation changes, Keszthely, Hungary
Using Machine Learning to Predict Cost Overruns in Construction Projects

Addressing the persistent issue of cost overruns in construction projects, our study explores the potential of machine learning algorithms for accurately predicting these overruns, utilizing an expansive set of project parameters. We draw a comparison between these innovative techniques and traditional cost estimation methods, unveiling the superior predictive accuracy of machine learning approaches. This research contributes to existing literature by presenting a data-driven, reliable strategy for anticipating and managing construction costs. Our findings have significant implications for project management, offering a path towards more efficient and financially sound practices in the construction industry. The improved prediction capabilities could revolutionize cost management, facilitating better planning, risk mitigation, and stakeholder satisfaction.
Synchronization of coupled nonlinear oscillatiors with gamma-distributed delays

We derive conditions for the synchronization of coupled nonlinear oscillators affected by distributed delays in the interconnections. The distributed delays are characterized by a gamma-distribution kernel with a gap. The approach is based on the stability analysis of synchronized equilibria in the (delays,gain) parameter space and the characterization of the structure of the emanating solutions at the bifurcations. The results are applied to networks of coupled Lorenz system. In particular it is shown that, independently of the network topology, for sufficiently large coupling gains the distribution of the delay has a stabilizing effect on the stability of the synchronized equilibrium.
Evidence-Based Educational Practices for Working With Refugee Children

ABSTRACT This article presents five main challenges refugee children experience in their learning and living in host countries, revealing an urgent need for reexamining their strengths and needs in education. It further reports an asset-based participatory research project with 18 preservice teachers (PTs) and 85 refugee children (K-5) engaged in an after-school English language-learning program in the United States. This research has two purposes. First, this study explores alternative perspectives on refugee children as multilingual learners (MLs). Doing so aims to offer novel counter-narratives to prevalent deficit thinking about young refugees, instead highlighting their assets, contributions, and learning potential. Second, it examines educational strategies that can enhance refugee children’s learning experiences and opportunities. Qualitative analysis and discourse analysis were combined to examine the researcher’s field notes, the PTs’ reflection logs, interviews with the children, inquiry papers about effective ML teaching strategies, and the children’s artifacts. The first part of the findings demonstrates how alternative perspectives of refugee children as multilingual learners may spark a fresh dialogue around their overlooked learning competence and potential. The second part discusses five evidence-based pedagogical strategies found in this study to be effective educational practices in working with refugee children.
Vehicle to Infrastructure-Based LiDAR Localization Method for Autonomous Vehicles

The localization of autonomous vehicles using light detection and ranging (LiDAR) sensors relies on high-definition (HD) maps, which are essential for accurate positioning. However, the large storage capacity required for HD maps poses challenges for real-time performance. To address this issue, we propose a vehicle to infrastructure (V2I)-based LiDAR localization method. In this approach, real-time HD maps are transmitted to vehicles in the vicinity of the infrastructure, enabling localization without the need for map data. We conducted tests to determine the optimal size of the HD maps and the distance between vehicles and the infrastructure, considering the impact on transmission speed. Additionally, we compared the matching performance between the complete HD map and sub maps received from the infrastructure, to evaluate the effectiveness of our method in a qualitative manner.
Latest Measurements of the CKM angle φ3 at Belle

Determination of the parameters of the Standard Model helps test the Cabibbo-Kobayashi-Maskawa (CKM) mechanism for CP violation asymmetry violation as well as search for new physics eﬀects beyond the Standard Model (SM). The most recent results for the determination of φ 3 using the full Belle data set of 711 fb − 1 of integrated luminosity, produced at the KEKB accelerator complex with a centre-ofmass energy corresponding to the Υ ( 4 S ) resonance of √ s = 10 . 58 GeV are summarized in this proceeding.
STUDENTS’ FINANCIAL LITERACY KNOWLEDGE RESEARCH: THE CASE OF KAUNO KOLEGIJA HIGHER EDUCATION INSTITUTION

A person feels more confident and secure with good financial skills and knowledge in the face of increased inflation, energy crisis and geopolitical uncertainty. Therefore, financial literacy is one of the most important skills necessary for a modern person. The basics of financial literacy are included in the programs of primary and secondary schools in Lithuania. So, students of Higher Education Institutions should have basic financial literacy knowledge and skills. The purpose of this study is to assess student’s level of financial literacy. For this reason, a survey of 1st year students of Kauno kolegija Higher Education Institution Technologies and Business Faculties was carried out in May – June of 2022. The survey consisted of questions and knowledge test tasks which were divided into four groups: budget, credits and debts, savings and investments, financial responsibility. The collected data were processed using the SPSS 29 software. It was assessed that the level of financial literacy of Kauno kolegija Higher Education Institution students is adequate. The quartile width of the financial literacy index of all respondents was about half of the total spread. That means that the spread of values between the quartiles is similar. It was observed that earning respondents are more tend to save than non-earning respondents when evaluating the differences in the context of saving habits. In addition, two-thirds of working students cut back on spending when money is tight. It was observed that the vast majority of working students do not tend to borrow from family or friends. A statistically reliable difference was obtained between the groups of working and non-working respondents when evaluating an investment, i.e. one third of working people tend to invest. Respondents named the main reasons for not investing: lack of knowledge and insufficient amount of money. Respondents who invest their savings usually choose to invest in cryptocurrencies, real estate, investment funds or their own business. Even four-fifths of unemployed students said that they wanted to learn more about money management when assessing their financial skills. The study found out that goal setting has a direct impact on reducing their expenses. In addition, a better financial situation makes it possible to regularly save and evaluate the financial situation before buying an expensive item. What is more, the ability to manage your finances directly depends on deepening your financial knowledge, encouraging you to compare prices when buying something, compare the conditions of different credit institutions. The received results show that the majority of Kauno kolegija Higher Education Institution students have a sufficient amount of general financial literacy knowledge, for example, they tend to plan their personal budget, borrow efficiently, correctly assess investment risks, inflation and interest rates, and have long-term financial goals.
Correlates of beliefs about, and solutions to, the problem of evil

ABSTRACT This study explored people’s attitudes towards various explanations for the theological Problem of Evil. Five hundred adults rated the importance of 16 possible solutions to the Problem of Evil. Participants also indicated their religious and political beliefs, their Belief in a Just World and their endorsement of Conspiracy Theories. Results showed that many differences in ratings were a function of religious beliefs and belief in the afterlife. The 16 solutions were subjected to a factor analysis which revealed three factors labelled Deistic, Luck and Chance, and Human Behaviour. Those who claimed to be more religious, and believed in an afterlife, were more likely to support Deistic solutions. These solutions were also supported by younger, less educated, and less intelligent people who believed in the Just World and Conspiracy theories. Just World beliefs were related to Luck/Chance explanations, whereas believing in Conspiracy theories related to Human Behaviour explanations.
Peranan Fungsi Direktif dalam Sastra Anak Digital Ditinjau Melalui Lomba Cipta Karya Anak LMCA Tahun 2015

astra merupakan salah satu kekayaan yang memiliki nilai yang tidak terhingga. Salah satu dari genre sastra yang menarik perhatian ilmuwan adalah sastra anak. Genre sastra anak berkembang dengan pesat dan memiliki beragam konsep dan konteks di dalamnya. Penelitian ini berfokus pada sastra anak yang karyanya ditulis atau diciptakan oleh sang anak. Sebuah sastra anak yang pengarangnya anak memiliki keunikan dan keistimewaan tersendiri di dalam mengemas ceritanya. Anak-anak yang memiliki ragam imajinasi menuangkan ide, gagasan, dan pemikiran ke dalam sebuah tulisan literasi yang bergenre sastra yang pada akhirnya disebut dengan sebutan sastra anak. Peneltiian ini bertujuan untuk memaparkan fungsi direktif yang dituangkan oleh penulis cilik ke dalam karyanya yang memiliki beragam konteks dan setiap konteks memiliki kegunaan dan tujuannya masing-masing. Penelitian ini menemukan bahwa fungsi direktif yang dituangkan oleh penulis cilik adalah fungsi yang ingin mengubah suasana cerita ke dalam suasana lain yang meminta lawan bicara untuk memberikan respon dan tanggapan atas fungsi direktif yang dibuatnya.
Resilience as a moderator of the relationship between organizational spirituality and burnout

This study aimed to analyze the moderating role of Resilience (R) in the relationship between Organizational Spirituality (OS) and Burnout Syndrome (BOS) in call center operators. The quantitative methodology of the research type included a sample of 512 and the data were collected and analyzed from the Structural Equation Modeling. The results showed a negative relationship between OS and BOS. It was also shown that the perception of perseverance and self-confidence (dimensions of resilience) significantly moderated the association between the two constructs, reducing their effects. The present study brings contributions to science by improving the Burnout measurement tool, including the Optimism dimension in the validated scale, in addition to reinforcing the moderating role of resilience.
A spherical near field to far field transform for large antenna arrays

ABSTRACT The simulation or measurement of large antenna arrays requires a spherical near field to far field (NFFF) transform, which suffers from the underflow when calculating the high degree associated Legendre functions by double precision. This paper proposes to normalize the associated Legendre functions by the first non-zero term in the recursion and set the extremely small terms to zero. Numerical experiments show that the proposed method is much more accurate and stable than the commonly used SPHEREPACK library. Besides, the pattern of a linear array of 600 elements is evaluated by the proposed method with the truncation degree up to 985, which is validated against the Method of Moment (MoM).
Constraining Exoplanetary Physical And Orbital Parameters With Tar-Fit

Photodynamical modeling of star systems using available Kepler transit photometry and radial velocity observations has provided unique constraints on physical parameters of stars, providing insight into stellar structure and formation models (Carter et al. 2011). The inclusion of forthcoming astrometric measurements from the ongoing ESA Gaia mission will help improve the accuracy and precision of these models by constraining the orbital motion of stars around the system barycenter in the plane of the sky. Here I use the self-developed Transit, Astrometry, and RV Fitter (TAR-Fit) photodynamical model to update the parameters of the KOI-126 system, first reported in Carter et al. (2011). KOI-126 is a triply-eclipsing stellar system composed of a low-mass binary in orbit around a solar-type star. I use a Bulirsch-Stoer numerical integrator written in C to compute the dynamics of the system in a heliocentric frame, and run a Markov Chain Monte Carlo fitting process calculating the chi-square value for the simulated transits, astrometry, and RV data produced by the integrator compared to observational data. The best-fit model parameters I calculated for the dataset from Carter et al. (2011) were consistent with their parameters, but not consistent with the full photometric dataset, and required slight tweaks in the orbital angles of the system in order to fit all the transits. The evolution of the parameters for KOI-126 throughout the 7 years of Kepler and radial velocity observations provides strong constraints on the best-fit parameter values.
Accelerated mass as the source of electromagnetic radiation

This article presents the nature of gravity induced electromagnetic field for accelerated mass as an extension of the Theory of dynamic gravitational electromagnetism. It is also shown that a mass particle for its acceleration can radiates electromagnetic energy like the accelerated charge particle. But the outcome of directional radiation energy is vanishingly small compare to radiation from a charge particle like electron, where in typical case it is almost low enough in the order of ~10 from the usual electro-dynamical electromagnetic radiation. But at the consequence there is an enough scope to probe the extreme cases where the high energy cosmic gamma rays generate.