Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Traditional vs. Balanced School Calendars on Middle School Mathematics Achievement

Middle school mathematics achievement in the US, particularly in low socioeconomic districts, lags behind much of the industrialized world. One strategy to remedy low mathematics achievement is the balanced calendar model for student attendance. The balanced calendar model is popular because it distributes the 180 days of school attendance over the year more evenly than the traditional calendar model. The balanced calendar model features two inter-session periods that allow struggling students additional instruction. The purpose of this dissertation was to investigate the influence of a balanced calendar model on the mathematics achievement of middle school students. The literature review explored the historical origins of both the traditional and balanced calendars, as well as the current national trends for yearlong instruction. In addition, the issue of “summer fade” was explored, and how summer fade was more likely to negatively impact students from low income families. A matched pair research design was utilized. This quantitative approach allowed mathematics achievement scores from schools using different calendar models to be compared while limiting the impact of other variables. A pair match placed schools with competing calendars together based on similar student demographics such as ethnicity and income level. Passing rates on standardized assessments for mathematics achievement were compared using chisquare and Fisher exact tests. Twenty-five of the 44 statistical analysis tests showed no significant influence on mathematics achievement between the competing calendar models. Only nine matched pairs were significant with a coefficient indicating that the balanced calendar schools influence mathematics achievement in a positive manner. A negative coefficient on ten of the matched pairs indicated that the balanced calendar influence mathematics achievement in a negative manner. This study suggests that the issue of calendar models warrants a broader investigation. INDEX WORDS: School calendar year, Mathematics education, Middle school, Socioeconomic status (SES) THE INFLUNCE OF TRADITIONAL VS. BALANCED SCHOOL CALENDARS ON MIDDLE SCHOOL STUDENTS’ MATHEMATICS ACHIEVEMENT
Adaptive-Output-Voltage-Regulation-Based Solution for the DC-Link Undervoltage of Grid- Forming Inverters

This article proposes an adaptive-output-voltage-regulation (AOVR)-based solution to alleviate the dc-link undervoltage for grid-forming (GFM) inverters. First, it is shown that large disturbances may cause the dc-link undervoltage for GFM inverters threatening the safe operation of the system. To tackle this issue, an AOVR-based control strategy is proposed, whose main idea is to reduce the output voltage of the GFM inverter and also speed up the dynamic process of the power angle by intentionally enlarging the frequency deviation of the active power control loop. By doing so, the dc-link output energy will reduce to avoid possible undervoltage. The parameter design of the proposed method is based on the overmodulation constraints, and an auxiliary module is configured for the low-voltage-ride-through (LVRT) requirements. The applicability of the proposed solution is checked when considering the current limitation. The pros of the proposed solution are also depicted when compared with state-of-art solutions. The effectiveness of the proposed control strategy is finally confirmed by the experimental tests.
Satellite Attitude Stabilization Control with Actuator Faults

Nomenclature d = external disturbances E, Ê = actuator effectiveness and estimated effectiveness, respectively Hrw = reaction-wheel momentum J, J0, ΔJ = inertia matrix, nominal inertia matrix, and uncertainty in inertia matrix, respectively Jrw = inertia of reaction wheel L = positive definite gain matrix M = distribution matrix qv ; q0 T = unit quaternion u, uc = actual output torque and command torque of reaction wheels, respectively u = bias fault τ, τc = three-axis torque and three-axis torque command, respectively Ω, Ω̂ = angular velocity and estimated angular velocity of reaction wheel, respectively ω, ω̂ = angular velocity and estimated angular velocity of satellite, respectively
Two topics in number theory: sum of divisors of the primorial and sum of squarefree parts

Let pn be the n-th prime and σ(n) the sum of the positive divisors of n. Let us consider the primorial Pn = p1.p2 . pn, the sum of its positive divisors is σ(Pn) = ∏n i=1(1 + pi). In the first section we prove the following asymptotic formula
Density of the brown hare (Lepus europaeus Pall.) and selected population indicators

The paper presents the results of research on body weight and the formation of population structures (age and sex) of hares in south-eastern Poland (Lublin Upland) conducted in 2019. 205 hares from four regions were analysed, differing in terms of density, and thus the hunting exploitation of the population in these areas. The obtained results showed that the body weight was determined by the age of the individuals, while sex had no significant effect on this parameter. Despite the significant variability of body weight in individual research areas, no significant differences in this feature between regions of origin were found.The age structure was dominated by adults (over 1 year of age), especially in areas with low population densities. In terms of sex structure, females clearly dominated. It has been shown that the described population structures can have a direct impact on the indicators of reproductive capacity and population continuity. Although the sample size was small in the low-density areas, the calculated indicators suggest that these populations are at serious risk of viability. In areas with higher density indicators, the possibilities of limiting hunting should be considered in order to maintain the level of density that guarantees optimal functioning of the population and its durability.
The Impact of Corporate Social Responsibility on Brand Awareness of Telecommunication Industry in Ghana

Background: Corporate Social Responsibility (CSR) has attracted a lot of attention from academics and CSR practitioners over the years. But there is no universally accepted definition of the term CSR. Aim: This paper examines the impact of corporate social responsibility (CSR) on brand awareness construct of brand equity. Method: Extant literature reveals that little is known about CSR activities during an industrial crisis like covid-19 pandemic, most of the available research works in this area were carried out on developed countries and in the case of the telecommunication industry in Ghana, the scope of studies appear narrow as individual telecommunication companies were used as case studies and reported findings are inconclusive. Convenience sampling procedure was employed in which questionnaires were administered to 800 respondents across the 16 regions of Ghana. The field data was analyzed using inferential statistics (OLS regression and correlation analysis) and descriptive statistics. Findings: The study found that both ethical and philanthropic responsibilities of CSR positively relate to brand awareness and brand loyalty constructs of brand equity of the telecommunication industry in Ghana at statistically significant levels.
Generative and non-parametric model for real-time event detection in social networks based on textual analysis

One of the things that is followed in monitoring systems is the detection of rare events in real time among the multitude of common events in social networks. Considering the lack of recognition and unavailability of rare events, their detection is considered a challenge. In this research, a new architecture and approach based on generative adversarial network infrastructure was presented to detect common and rare events in real time. In this research, the attempt is to provide a new approach to the performance of architectures based on deep generative adversarial networks, a way to solve various problems without supervision with a semi-supervisory approach and adversarial generative infrastructure. This architecture is based on the automatic extraction and use of video input data features. The results of the equal error rate in the UCSDped1 and UCSDped2 datasets were 2.0 and 17.0, respectively, in the performance characteristic curve.
Protease XIV abolishes NHE inhibition by empagliflozin in cardiac cells

Background: SGLT2i directly inhibit the cardiac sodium-hydrogen exchanger-1 (NHE1) in isolated ventricular cardiomyocytes (CMs). However, other studies with SGLT2i have yielded conflicting results. This may be explained by methodological factors including cell isolation techniques, cell types and ambient pH. In this study, we tested whether the use of protease XIV (PXIV) may abrogate inhibition of SGLT2i on cardiac NHE1 activity in isolated rabbit CMs or rat cardiomyoblast cells (H9c2), in a pH dependent manner. Methods: Rabbit ventricular CMs were enzymatically isolated from Langendorff-perfused hearts during a 30-min perfusion period followed by a 25-min after-dissociation period, using a collagenase mixture without or with a low dose PXIV (0.009 mg/mL) present for different periods. Empagliflozin (EMPA) inhibition on NHE activity was then assessed at pH of 7.0, 7.2 and 7.4. In addition, effects of 10 min PXIV treatment were also evaluated in H9c2 cells for EMPA and cariporide NHE inhibition. Results: EMPA reduced NHE activity in rabbit CMs that were not exposed to PXIV treatment or undergoing a 35-min PXIV treatment, independent of pH levels. However, when exposure time to PXIV was extended to 55 min, NHE inhibition by Empa was completely abolished at all three pH levels. In H9c2 cells, NHE inhibition by EMPA was evident in non-treated cells but lost after 10-min incubation with PXIV. NHE inhibition by cariporide was unaffected by PXIV. Conclusion: The use of protease XIV in cardiac cell isolation procedures obliterates the inhibitory effects of SGLT2i on NHE1 activity in isolated cardiac cells, independent of pH.
Magnetic Attitude Control for the MOVE-II Mission: 12 pages

This paper presents the fundamental work on the attitude control design using solely magnetic actuation for the MOVE-II mission. Two control modes are primarily considered: detumbling and sun pointing control. Regarding the sun pointing control, two approaches are discussed. The first is the Spin Stabilized Sun Pointing Control (SSPC) which provides gyroscopic stiffness against disturbances. The second is a non-spinning approach called Reduced Sun Pointing Control (RSPC). Simulation results have shown satisfactory performance providing proof of concept and motivation for further work.
Optimal Fingerprinting with Estimating Equations

Climate change detection and attribution has played a central role in establishing the influence of human activities on the climate. Optimal fingerprinting, a linear regression with errors-in-variables (EIV), has been widely used in detection and attribution analyses of climate change. The method regresses observed climate variables on the expected climate responses to the external forcings, which are measured with EIVs. The reliability of the method depends critically on proper point and interval estimation of the regression coefficients. The confidence intervals constructed from the prevailing method, total least squares (TLS), have been reported to be too narrow to match their nominal confidence levels. We propose a novel framework to estimate the regression coefficients based on an efficient, bias-corrected estimating equations approach. The confidence intervals are constructed with a pseudo residual bootstrap variance estimator that takes advantage of the available control runs. Our regression coefficient estimator is unbiased with a smaller variance than the TLS estimator. Our estimation of sampling variability of the estimator has a low bias compared to that from TLS, which is substantially negatively biased. The resulting confidence intervals for the regression coefficients have close-to-nominal level coverage rates, which ensures valid inferences in detection and attribution analysis. In applications to the annual mean near-surface air temperature at the global, continental, and subcontinental scales during 1951–2020, the proposed method led to shorter confidence intervals than those based on TLS in most of the analyses.
The Effect of Human Resources Practices on Sport Organization’s Performance in Oman: The Mediating Role of Leadership Style

Purpose: This paper examines the impact of human resource management (HRM) practices on organizational performance, with mediating role of leadership style. Theoretical framework: This study integrates theoretical perspectives on HRM practices Namely (the recruitment selection process, incentive system, and training & development), Leadership style and organisational performance. The conceptual model for this study was developed based on previous research in the field of HRM practices and leadership styles globally. The conceptual model has HRM practices as an independent variable (IV), Leadership style as a mediator and organisational performance as a dependent variable (DV). Design/Methodology/Approach: A survey questionnaire instrument was employed to collect data from 156 employees working at sport organisations in Oman. SPSS was used for analysing the data, and Smart-PLS were used to test the proposed hypotheses. Findings: The result revealed that human resource practices are significantly related to organisational performance. Also, leadership styles mediated the influence of HRM practises on organisational performance. Research, practical & social implications: The finding of this study provides valuable insights into sport organisations in Oman can enhance their HRM practices to improve organisational performance and achieve their goals. Moreover, it has been recommended that organizations use a leadership style that enhances organizational performance. The results come from a cross-sectional study which was done at the convenience of the researcher. The results may not be generalized across the country. The application of the results to other organisations must be done with maximum care. Originality/Value: This study adds to the literature on the effectiveness of HRM practices, Leadership style in enhancing organisational performance in a specific context namely the sport organisations in Oman. The study also highlights the mediating role of leadership style in the relationship between HRM practices and organisational performance.
Exploring Personality Profiles with Matrices

Abstract We present a short-term class project used in an introductory linear algebra course, designed to engage students in matrix algebra. In this activity, students responded to a survey of their pop culture tastes. Using the survey responses, they worked to design a series of matching algorithms, using matrices, with the goal of matching the students in the class to the person whose tastes most closely aligned with their own. The class then explored various ways of testing the quality of the match. Topics covered along the way included: symmetric matrices, vector products, and numerical interpretation of qualitative data.
The Correlation Between Total Quality Management Practices and Employees' Job Performance: Basis for Proposed Sustainable TQM Strategies

The main purpose of this research is to investigate the relationship between Total Quality Management (TQM) success factors implementation and the employees’ job performance of an oil company located in the province of Batangas, Philippines in order to propose TQM strategies that could further sustain the implementation of the practices. The 100 employees selected through purposive sampling are the participants of the study. The validated questionnaire was administered through electronic data surveying. Data were statistically treated with the techniques used such as measure of central tendency to determine the participants’ demographic profile, assessment of the TQM success factors and the effect of TQM to the employees’ job performance, and Pearson correlation coefficient to determine the relationship between the implementation of TQM success factors and employee job performance. The results indicated that employees strongly agree that all the eight success factors of TQM are visibly implemented in the company. Among the eight success factors, it is training and development, quality culture and customer focus which garnered the highest ratings. For the effect of TQM in the job performance, it was revealed that the employees consider the TQM implementation with respect to doing their excellent performance in their jobs. Lastly, there is a significant relationship between the implementation of TQM success factors and employee job performance. This findings give an implication that oil companies may consider the full implementation and decide on proper application of the success factors to their organization as these are significantly affecting the job performance of the employees. Thus, the proposed TQM strategies can be of help in the sustaining the implementation of TQM practices. Keywords: TQM practices, job performance, oil company
Dopant concentrations analysis on electro-optic performances of gallium nitride-based ultraviolet light-emitting diode chip

Abstract. A high dopant concentration significantly reduces the peak current of the internal quantum efficiency (IQE) of the light-emitting diode (LED). The effect of the dopant concentration on the epitaxial layer toward the IQE, current density, and IQE droop of gallium nitride (GaN)-based LED chip is analyzed with the doping variation from 1 × 1015 cm − 3 to 1 × 1021 cm − 3. The required current density for the dopant concentrations of 1 × 1015 cm − 3 is 122.42 A / cm − 2 with the IQE droop of 10%. Meanwhile, for the dopant concentrations of 1 × 1021 cm − 3, the required current density for achieving peak IQE is 0.67 A / cm − 2 with an IQE droop of 51%. The increase in dopant concentrations reduces the current density necessary for achieving peak IQE while increasing IQE droop. The optimization is performed for the device performances based on the peak current and IQE droop. The optimal dopant concentration for this GaN-based LED lies between 1 × 1017 cm − 3 and 1 × 1018 cm − 3, which is 4.47 × 1017 cm − 3, with a peak IQE of 69.1%. The proposed epitaxy structure provides the optimal doping concentration for the homojunction LED chip with a compatible activation current. The results achieved in this work may benefit the entire optoelectronics field.
Global stabilization of memristor-based fractional-order neural networks with delay via output-feedback control

In this paper, the memristor-based fractional-order neural networks (MFNN) with delay and with two types of stabilizing control are described in detail. Based on the Lyapunov direct method, the theories of set-value maps, differential inclusions and comparison principle, some sufficient conditions and assumptions for global stabilization of this neural network model are established. Finally, two numerical examples are presented to demonstrate the effectiveness and practicability of the obtained results.
An iterative algorithm to find maximum spanning sets and minimum linearly independent sets which partition a finite generator

ABSTRACT Motivated by existence problems of the maximum number of spanning sets (MS) and the minimum number of Linearly independent sets (ML) which partition a generator in a finite dimensional vector space, we introduce a real time iterative algorithm with polynomial complexity. The algorithm starts with an arbitrary partition and improves it to obtain the final partition. In addition this algorithm gives the conclusion of the Rado–Horn theorem, and facilitates using of this theorem.
Lagrangian Coherent Structures in Unsteady Flow Fields - Required Resolution of the Field Information = Lagrange’sche kohärente Strukturen in instationären Strömungsfeldern

Whole-field velocity information – in contrast to single point-data – allows a substantially deeper insight into the investigated flow scenarios, since pattern information is contained beyond only statistical correlations. As a possible post-processing approach for such field information, the finite-time Lyapunov exponent (FTLE) gains in popularity as it provides essential information, e.g. cause-effect relations of vortex formation and separation. It is calculated based on the Lagrangian flow properties measuring the separation rate of particles to visualize the transport of Lagrangian coherent structures (LCS). Thereby, flow separation, clear vortex boundaries and recirculation zones are identified. Such structures in the flow are often not salient when investigating the Eulerian velocity field or even particle paths. Furthermore, the FTLE takes arbitrary time dependence of dynamical systems into account (see Shadden 2006). In order to research the influence on different flow characteristics, the spatial resolution of the underlying velocity grid and the mesh of seeded particles are varied through various two and three dimensional flow phenomena. The findings provide valuable insight into the required spatial resolution for the respective flow scenarios. This information in turn serves as mandatory boundary conditions for any experimental effort towards a successful measurement-based FTLE calculation. Background and Objectives Most measuring technologies in fluid mechanics (e.g. particle image velocimetry (PIV), laser Doppler anemometry (LDA), hot wire anemometry) deliver Eulerian velocity data that need to be further processed. Lagrangian post-processing in terms of LCS extraction is only feasible for whole-field information, e.g. PIV or CFD data. Such processing provides information about the evolution of the flow and enables clear vortex boundary visualization. In order to receive the Lagrangian information from unsteady velocity fields, the ordinary differential equation ? ̇? (x0, t) = v(x(x0, t), t) (1) has to be solved. Thereby, the Lagrangian particle positions x are connected with the provided Eulerian flow field velocities v. In the Lagrangian description, the coordinate system
A lower bound for composition multiplicities for the Springer resolution

ABSTRACT Let be the Springer resolution of the nilpotent cone for a semisimple connected algebraic group G over ℂ and k be an arbitrary field. What happens to if the decomposition theorem fails for it? We show that in this case, some additional (with respect to the case char k=0) composition factors of this direct image in the (abelian) category of perverse sheaves may emerge. These factors emerge from the -composition factors of the radicals of certain intersection forms and from that of the top cohomologies of Springer fibres (in the non-semisimple case).
Design optimization of gold-coated fiber tips with embedded plasmonic slot nano-resonators

Nanostructures of dimensions around the operating wavelength of light can support optical resonances enhancing the incident light by orders of magnitude and concentrating it in the nanoscale. Their integration to optical fiber tips with thin metallic claddings, forming plasmonic slot nanoresonators (PSNRs), provides ease of light coupling from the fiber’s core modes to the slot and a robust platform which can find many applications in nano-optics and sensing. Guiding and modal properties of metal-coated optical fiber tips with embedded PSNRs are investigated through finite element method (FEM) simulations towards the identification of their optimization parameters. It was found that the placement of a PSNR at the cut-off radius of a metal-coated fiber tip, where the group velocity tends to zero, leads to considerable intensity enhancement of the field confined beyond the diffraction limit. Maximum intensity enhancement of optimally placed PSNRs at different radii shows a linear dependence between excitation wavelength and radius, making it feasible to engineer the proper radius for a specific wavelength for maximum enhancement.