Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematics Modelling Ability of Students on the Set Materials of VII Class with Problem-Based Learning (PBL)

This research is motivated by the low ability of students in mathematical modelling, especially in the set material. To overcome this problem, the Problem-Based Learning (PBL) learning model is used. This study aims to describe how students' abilities related to mathematical modelling on the set material using the PBL model. This research took place at SMP Negeri 1 Muara Pinang, Empat Lawang Regency for the 2021/2022 academic year, involving 14 students as research subjects. The research method used is descriptive with quantitative and qualitative data analysis techniques based on mathematical modelling indicators. Data were collected using tests and interviews. From the results of the study, it was shown that the students' ability to model the set material was categorized enough with an average student score of 45.1 with a percentage of 50%.
Evaluation of SPAD Chlorophyll Meter in Two Different RiceGrowth Stages and its Temporal Variability

Recently, agriculture production systems have benefited from incorporation of technological advances primarily developed for other industries. Site-specific crop management, well-established in some developed countries, is now being considered in other places such as Malaysia. The application of site-specific management principles and techniques to diverse crops and small-scale farming systems in Malaysia will present new challenges. Describing within-field variability in typical Malaysian production settings is a fundamental first step toward determining the size of management zones and the interrelationships between limiting factors, for establishment of site-specific management strategies. Measurements of rice (Oryza Sativa L.) SPAD readings was obtained in a Malaysian rice paddy field those were manually collected on 2 different rice growth stages(55 DAT and 80 DAT) and measured using a Minolta SPAD 502. Analysis of variance, variogram and kriging were conducted to determine the variability of the measured parameter. Finally, SPAD reading maps were created on the interpretation of the data was investigated.
How Money Matters

Using new data from the American Time Use Survey (ATUS), the authors consider how educational and parental status influence the relationship between wives’ relative earnings and the time they devote to housework in a climate of heightened gender egalitarianism and growing similarity between women’s and men’s time use. The authors capitalize on the large samples in the American Time Use Survey to study four groups of wives whose varying educational and parental statuses strengthen tests of theoretical claims regarding bargaining, gender display, and wives’ autonomy. Among wives with children at home and without a college degree, the authors find that relative earnings bear a curvilinear relationship to housework time, supporting predictions derived from exchange and gender display theories. Among wives with children and a college degree, and among wives without children regardless of degree status, relative earnings are unrelated to housework. In contrast, wives’ own earnings are inversely related to housework time across all four groups. The authors’ analyses suggest that educational and parental contexts jointly shape the relationship between wives’ earnings and their housework and the relative importance of bargaining, gender display, and autonomy.
MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis

Citation for published version (Harvard): Kasivisvanathan, V, Rannikko, AS, Borghi, M, Panebianco, V, Mynderse, LA, Vaarala, MH, Briganti, A, Budäus, L, Hellawell, G, Hindley, RG, Roobol, MJ, Eggener, S, Ghei, M, Villers, A, Bladou, F, Villeirs, GM, Virdi, J, Boxler, S, Robert, G, Singh, PB, Venderink, W, Hadaschik, BA, Ruffion, A, Hu, JC, Margolis, D, Crouzet, S, Klotz, L, Taneja, SS, Pinto, P, Gill, I, Allen, C, Giganti, F, Freeman, A, Morris, S, Punwani, S, Williams, NR, Brew-Graves, C, Deeks, J, Takwoingi, Y, Emberton, M & Moore, CM 2018, 'MRI-Targeted or Standard Biopsy for Prostate Cancer Diagnosis', The New England Journal of Medicine. https://doi.org/10.1056/NEJMoa1801993
Integration of Viscoplastic Effects in Nonlinear Ground Response Analysis Auteur:

Nonlinear one-dimensional ground response analyses are used to assess the potential of ground motion amplification at a site, and require constitutive models that control the response of the soil to seismic loading. Constitutive models typically use modulus reduction and damping curves as input parameters where the modulus reduction curve represents the decrease of stiffness of the soil with shear strain, and the damping curve represents the capacity of the soil to dissipate energy uponcyclic shearing. The models are evaluated by their ability to match their input modulus reduction and damping curves, but most of the existing models tend to introduce a misfit of either of these curves. For instance, most models use modified Masing rules (Masing 1926), to match the input damping curve but are unable to ensure a perfect fit of the damping curve. Recently, Yniesta et al. (2017) introduced the ARCS model, a one-dimensional nonlinear stress-strain model capable of reproducing any user-input modulus reduction and damping curve. However, this model, and the other models used in ground response analyses arestrain-rate independent, but it has been proved that soil behaviour is highly strain-rate dependent during both monotonic and cyclic loading. This thesis presents a new viscoplastic model capable of capturing strain rate dependence of the soil‟s behaviour for 1D ground response analysis. The constitutive equations of the viscoplastic model are derived so that the response of the model is consistent with the behaviour reported in the literature regarding viscous effects. The model is divided in two parts: the inviscid and the viscous response. The inviscid part is based on the ARCS model and the viscous part includes the strain-rate dependency. Examples of single element simulations are presented in order to study the typical predictions of the model. The proposed viscoplastic model is implemented in Deepsoil, a one-dimensional ground response analysis program. The model is validated by simulating in Deepsoil a centrifuge test representing a 1D ground response analysis problem. The results are compared in terms of spectral response, spectral residuals and transfer functions. The results show a clear improvement of the predictions when considering the strain-rate dependency in nonlinear ground response analysis, as compared to the inviscid model.
Are Call Center and Hospital Arrivals Well Modeled by Nonhomogeneous Poisson Processes?

Service systems such as call centers and hospitals typically have strongly time-varying arrivals. A natural model for such an arrival process is a nonhomogeneous Poisson process (NHPP), but that should be tested by applying appropriate statistical tests to arrival data. Assuming that the NHPP has a rate that can be regarded as approximately piecewise-constant, a Kolmogorov–Smirnov (KS) statistical test of a Poisson process (PP) can be applied to test for a NHPP by combining data from separate subintervals, exploiting the classical conditional-uniform property. In this paper, we apply KS tests to banking call center and hospital emergency department arrival data and show that they are consistent with the NHPP property, but only if that data is analyzed carefully. Initial testing rejected the NHPP null hypothesis because it failed to account for three common features of arrival data: (i) data rounding, e.g., to seconds; (ii) choosing subintervals over which the rate varies too much; and (iii) overdispersion caused by combining data from fixed hours on a fixed day of the week over multiple weeks that do not have the same arrival rate. In this paper, we investigate how to address each of these three problems.
Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation

In the last 15 years, several Multivariate GARCH (MGARCH) models have appeared in the literature. Recent research has begun to examine MGARCH specifications in terms of their out-of-sample forecasting performance. In this paper, we provide an empirical comparison of a set of models, namely BEKK, DCC, Corrected DCC (cDCC) of Aeilli (2008), CCC, Exponentially Weighted Moving Average, and covariance shrinking, using historical data of 89 US equities. Our methods follow part of the approach described in Patton and Sheppard (2009), and the paper contributes to the literature in several directions. First, we consider a wide range of models, including the recent cDCC model and covariance shrinking. Second, we use a range of tests and approaches for direct and indirect model comparison, including the Weighted Likelihood Ratio test of Amisano and Giacomini (2007). Third, we examine how the model rankings are influenced by the cross-sectional dimension of the problem.
Financial Valuation and Risk Management Working Paper No . 464 Long run forward rates and long yields of bonds and options in heterogeneous equilibria

We prove that, in a heterogeneous economy with scale invariant utilities, the yield of a long term bond is determined by the agent with maximal expected marginal utility. We also prove that the same result holds for the long term forward rates. Furthermore, we apply Cramer’s large deviations theorem to calculate the yield of a long term European call option. It turns out that there is a threshold risk aversion such that the option yield is independent of the risk aversion when risk aversion is above the threshold. Surprisingly, the long term option yield is always greater then or equal to the corresponding equity return. That is, in the long run, it is more profitable to buy a long maturity call option on equity then the equity itself. JEL : D91, E43, G12. Mathematics Subject Classification (2000) 91B28 · 91B60 · 91B64 · 91B70
Inconsistency transmission and variance reduction in two-stage quantile regression

Abstract In this paper, we propose a new variance reduction method for quantile regressions with endogeneity problems, for alpha-mixing or m-dependent covariates and error terms. First, we derive the asymptotic distribution of two-stage quantile estimators based on the fitted-value approach under very general conditions. Second, we exhibit an inconsistency transmission property derived from the asymptotic representation of our estimator. Third, using a reformulation of the dependent variable, we improve the efficiency of the two-stage quantile estimators by exploiting a tradeoff between an inconsistency confined to the intercept estimator and a reduction of the variance of the slope estimator. Monte Carlo simulation results show the fine performance of our approach. In particular, by combining quantile regressions with first-stage trimmed least-squares estimators, we obtain more accurate slope estimates than 2SLS, 2SLAD and other estimators for a broad set of distributions. Finally, we apply our method to food demand equations in Egypt.
Existence of positive solutions to semilinear elliptic systems with supercritical growth

We establish the existence of positive entire solutions to cooperative systems of semilinear elliptic equations involving nonlinearities with critical and supercritical growth. Consequently, we obtain existence results to several well-known model examples such as systems of the Hénon, Lane-Emden and stationary Schrödinger types. The main technique for generating our results relies on a topological approach for the shooting method combined with non-existence results to closely related boundary value problems.
Quantum-Inspired Secure Wireless Communication Protocol Under Spatial and Local Gaussian Noise Assumptions

Inspired by quantum key distribution, we consider wireless communication between Alice and Bob when the noise generated in the intermediate space between Alice and Bob is controlled by Eve. Our model divides the channel noise into two parts, the noise generated during the transmission and the noise generated in the detector. Eve is allowed to control the former, but is not allowed to do the latter. While the latter is assumed to be a Gaussian random variable, the former is not assumed to be a Gaussian random variable. In this situation, using backward reconciliation and random sampling, we propose a protocol to generate secure keys between Alice and Bob under the assumption that Eve’s detector has a Gaussian noise and Eve is not so close to Alice’s transmitting device. In our protocol, the security criteria are quantitatively guaranteed even with finite block-length code based on the evaluation of error of the estimation of the channel.
Histamine, Mast Cell Tryptase and post-exercise hypotension in healthy and collapsed marathon runners

Purpose Heat stress exacerbates post-exercise hypotension (PEH) and cardiovascular disturbances from elevated body temperature may contribute to exertion-related incapacity. Mast cell degranulation and muscle mass are possible modifiers, though these hypotheses lack practical evidence. This study had three aims: 1) To characterise pre-post responses in histamine and mast cell tryptase (MCT) 2) To investigate relationships between whole body muscle mass (WBMM) and changes in blood pressure post marathon 3) To identify any differences in incapacitated runners. Methods
The Effect of Middle School Students' Metacognitive Awareness and Logical Thinking Skills on Success in Mathematics Course

The aim of this study is to investigate The effect of logical thinking skills on the success of mathematics course at the Metacognitive Awareness of Secondary School Students. The research was conducted in the Siirt city centre of Fevzi Çakmak Secondary School with 120 5th, 6th, 7th and 8th grade students in 2018-2019 education year. The data were collected through both Metacognitive Awareness Inventory Schraw ve Dennison (1994) and the Test of Logical Thinking Skills Tobin and Capie (1981). During the research, the collected data were analyzed using Pearson product-moment correlation coefficient, independent samples t-test, and linear regression on SPSS. According to the results, a positive effect is evident the success of mathematics course metacognitive awareness and logical thinking skills. There is a significant relationship between metacognitive awareness and grade point average mathematics (GPAM) scores. In addition, there is a considerable relationship between logical thinking skills and GPAM scores. The research results suggest that metacognitive awareness and logical thinking skills are positive predictors of mathematics academic achievement. Also, it was examined whether mathematics academic achievement, metacognitive awareness and logical thinking skills differ according to gender. Results show that secondary school students’ mathematics academic achievement and metacognitive awareness levels differ significantly in terms of gender. Female students are more successful than male students. Besides, female secondary school students’ metacognitive awareness levels are higher than that of male students. Also, the significant relationship was found between logical thinking skills with respect to the gender.
: A Comparison of the Weekly Training

33 Purpose : The transition into full-time training represents a key period in the development of young soccer players. 34 Here we compared the weekly training loads (matches, field, and resistance-training) of English Premier-League 35 Academy soccer players from under-16 (U16), under-18 (U18) and under-23 (U23) age-groups during a training 36 meso-cycle. Methods: Forty players (U16 n= 13, U18 n= 15 and U23 n = 12) were monitored using global 37 navigation satellite systems and differential ratings of perceived exertion (dRPE). External load metrics were total 38 distance, high-speed running distance, (absolute: ≥19.8km·h -1 , relative: ≥87% of 30-15 final-velocity [vIFT]), 39 sprint distance (absolute: ≥25.2km·h -1 , relative: ≥80% maximal sprint speed), and dynamic stress load. Internal 40 load metrics were dRPE training loads. Results: Other than relative sprint distance, overall weekly external 41 training loads were substantially greater for U18 and U23s when compared with U16s (effect size range: 1.09– 42 1.99 [moderate to large]; ±90% confidence limits ~0.45). When compared with U16s, overall internal loads were 43 substantially greater for U18s (0.69–0.95 [moderate]; ±~0.40), but not U23s. Differences in weekly training loads 44 between U18s and U23s were inconclusive. Conclusions: Substantial differences in training loads between elite 45 U16 players and their older counterparts, indicates the need for planned increases in training loads in anticipation 46 of the transition into full-time training.
The impact of technology on the wilderness experience: A review of common themes and approaches in three bodies of literature

In the last decade, increasing concern has been expressed about the impact of new technologies - especially communication technologies - on the wilderness experience. Many authors have suggested a tipping point has been reached, with new technologies changing the very nature of the 'traditional' wilderness experience in various ways. The loss of direct experiences creating new perceptions of risk among wilderness users has been a common complaint. As very few wilderness researchers have conducted empirical studies on this issue, I review these anecdotal, deterministic concerns in this body of literature. Then I identify key debates and approaches in two other literatures that consider the complex relationship between technology and recreation: leisure studies and science and technology studies. Within the latter field, I concentrate on Albert Borgmann’s discussion of focal practices, which shows promise as a conceptual foundation for this issue. Common themes within each of these three distinct literatures are identified, providing some indications of the key issues and topics that might be assessed by much-needed future research.
Assessing the relationship between shire winter crop yield and multi-temporal MODIS NDVI and EVI images

Australian researchers have been developing robust yield simulation models, based mainly on the crop growth response to the rainfall amount and distribution during the crop season. However, better knowledge of spatial distribution of yields in the production regions can be estimated by the use of remote sensing techniques. The objective of this study was to analyse the relationship between winter crop yields and the spectral information available at MODIS vegetation index images at the shire level. The study was carried out in the Jondaryan and Pittsworth shires, Queensland, Australia. Five years (2000 to 2004) of 250m, 16-day composite of MODIS NDVI and EVI images were used during the winter crop season (April to November). For these shires, a mask of cropping area was applied by using a land use classification map derived from Landsat TM. Multi-temporal profiles of the NDVI and the EVI imagery for each crop season were displayed and analysed. Wheat and barley yields, provided by the Australian Bureau of Statistics, were correlated to the maximum and to the integrated crop season values for both NDVI and EVI at the shire level. The temporal VI profiles were quite similar in Jondaryan and Pittsworth, with minimum values in April, May and June, a peak in August, and decreasing until November. Bigger differences were found between years. The correlation analysis between the winter crop yields and VIs pointed out that EVI images were better than the NDVI ones. Most part of the coefficients was statistically significant when using EVI spectral information from the Integrated and Maximum results. The results presented in this paper showed that the VI images are a powerful tool to assess near real-time biomass status.
Weight Loss and Psychological Symptoms After a Six-Week Online Clinical EFT (Emotional Freedom Techniques) Course

Background/Objective: Traditional methods of delivering therapeutic interventions have increasingly been supplemented by online courses. The current study investigated the effects of Clinical EFT (Emotional Freedom Techniques) in 76 participants enrolled in a six-week online course called Naturally Thin You. Weight, restraint, the power of food in the external environment, happiness, and post traumatic stress (PTSD) symptoms were assessed before and after the course and at one year follow-up. Method: Participants received six live group teleclasses, access to online course materials and a private social media group, and a year of monthly support teleclasses. No particular diet was recommended; the course focused instead on controlling emotional eating, and using EFT to treat the emotional triggers associated with food. Clinical EFTs Borrowing Benefits protocol, in which the group facilitator works with a single participant while others simultaneously self-apply EFT, was used during the teleclasses. Results: Repeated measures ANOVA compared scores pre to 12-month follow-up, and significant improvements were found for body weight (p < .001), depression symptoms (p=0.010), restraint (p=0.025) and the subjective power of food in the external environment (p=0.018). Weight decreased an average of 1 lb/week during the course, and 2 lb/month between pretest and one-year follow-up. On follow-up, no change was observed in PTSD symptoms measured by a brief civilian trauma checklist, or anxiety, and increases in happiness were non-significant. The results indicate Clinical EFTs utility to address the influence of food in the external environment and assist weight loss, and to promote beneficial long-term change when delivered in an online format.
Spatial Distribution of Commercial Banks in Ilorin Metropolis, Kwara State, Nigeria

spatial distribution of banks in any geographic entity determines the level of accessibility to its services by the public. This study examined the pattern of banks distribution in Ilorin metropolis. Field survey was employed in determining the number of available commercial banks and their respective distances between each other. The spatial analysis technique such as the nearest neighbour analysis as used ascertain the degree of clustering, density and the average distance taken to access these services. The study revealed that about 96% of the total number of banks are situated in the Central Business District which exhibited a very a high degree of clustering (Rn = 0.59). This eased interbank interactions within the CBD as the average interbank distance is 0.37km and with a little measure of cost to customers who reside outside the CBD. It also discovered that a branch of U.B.A. PLC was the only bank located in interior (traditional/unbanked) of Ilorin metropolis. Based on this, it was recommended that banking services should be extended to the traditional settlement areas where indigenes reside to encourage and improve their banking culture.