Miracle-dz/UniFAR-FTUs huggingface dataset:
Character Education through People's Story

The purpose of writing is to describe and integrate teaching material with learning materials for students by utilizing folklore for students in the material to preserve the value of local wisdom through folklore. Based on the results of the learning process in class X of Seluma Bengkulu 1 Vocational High School, Bengkulu folklore memorization in learning Indonesian language and literature shows that students are more interested and easy to find character education values. The results of analysis identify Bengkulu folklore and find content that has been analyzed as three kinds of folklore, namely: Clever Sleepers, Seven Head Snakes and Princess Serindang Bulan. Where class X students have analyzed using five values of character education, namely: honest, independent, disciplined, socially caring, and responsible. Not all of the five character education values are contained in each story. In the story of the Clever Contest students find the values of character honest, disciplined and caring socially. In the story of the Seven Head of Snake Legend, students find the values of character honest, disciplined and caring socially. In the story of Putri Serindang Bulan, students find the value of discipline and social care character education. Keywords—character building; folklore
An overview of pregnancy and fertility issues in breast cancer patients

Abstract Breast cancer is one of the most common malignancies of women in the reproductive years. In the Western world there is a trend towards delaying pregnancy to later in life, and in combination with an increased incidence of breast cancer an increased number of women are diagnosed with breast cancer before they have completed their reproductive plans. In addition, breast cancer during pregnancy may affect an increased number of women as the childbearing years are delayed. The survival rate after breast cancer has improved during the last decades, and many young breast cancer survivors will consider a pregnancy subsequent to the completion of adjuvant breast cancer therapy. Traditionally, many women are advised against a pregnancy due to a fear of increased risk of recurrence, especially women with estrogen receptor-positive breast cancer. Due to feasibility issues, evidence from large prospective randomized trials is missing regarding the safety of pregnancy after breast cancer. Today guidelines are based on cohort studies and population-based registry evidence with its limitations. Overall, data suggest that pregnancy after breast cancer therapy is safe, and the current evidence is summarized in this overview. Key messages Despite the lack of high-level evidence all retrospective data report no unfavorable effect on breast cancer outcome of a subsequent pregnancy after adjuvant breast cancer therapy. There are no reasons for proscription in principle against pregnancy for women after breast cancer therapy. The risk of premature menopause, infertility, and the suitability of fertility preservation approaches need to be discussed in a multidisciplinary setting with all eligible women before start of cytotoxic therapies. Women with breast cancer during pregnancy should be given appropriate systemic treatment as closely as possible to general guidelines.
Bioluminescence Imaging Reveals Dynamics of Beta Cell Loss in the Non-Obese Diabetic (NOD) Mouse Model

We generated a mouse model (MIP-Luc-VU-NOD) that enables non-invasive bioluminescence imaging (BLI) of beta cell loss during the progression of autoimmune diabetes and determined the relationship between BLI and disease progression. MIP-Luc-VU-NOD mice displayed insulitis and a decline in bioluminescence with age which correlated with beta cell mass, plasma insulin, and pancreatic insulin content. Bioluminescence declined gradually in female MIP-Luc-VU-NOD mice, reaching less than 50% of the initial BLI at 10 weeks of age, whereas hyperglycemia did not ensue until mice were at least 16 weeks old. Mice that did not become diabetic maintained insulin secretion and had less of a decline in bioluminescence than mice that became diabetic. Bioluminescence measurements predicted a decline in beta cell mass prior to the onset of hyperglycemia and tracked beta cell loss. This model should be useful for investigating the fundamental processes underlying autoimmune diabetes and developing new therapies targeting beta cell protection and regeneration.
Improving Regressors using Boosting Techniques

In the regression context, boosting and bagging are techniques to build a committee of regressors that may be superior to a single regressor. We use regression trees as fundamental building blocks in bagging committee machines and boosting committee machines. Performance is analyzed on three non-linear functions and the Boston housing database. In all cases, boosting is at least equivalent, and in most cases better than bagging in terms of prediction error.
Trace visualization for program comprehension: A controlled experiment

Understanding software through dynamic analysis has been a popular activity in the past decades. One of the most common approaches in this respect is execution trace analysis: among our own efforts in this context is EXTRAVIS, a tool for the visualization of large traces. Similar to other trace visualization techniques, our tool has been validated through anecdotal evidence, but should also be quantitatively evaluated to assess its usefulness for program comprehension. This paper reports on a first controlled experiment concerning trace visualization for program comprehension. We designed eight typical tasks aimed at gaining an understanding of a representative subject system, and measured how a control group (using the Eclipse IDE) and an experimental group (using both Eclipse and EXTRAVIS) performed in terms of correctness and time spent. The results are statistically significant in both regards, showing a 21% decrease in time and a 43% increase in correctness for the latter group.
On external semi-global stochastic stabilization of linear systems with input saturation

This paper introduces the notion of external semi- global stochastic stabilization for linear plants with saturating actuators, driven by a stochastic external disturbance, and having random Gaussian-distributed initial conditions. The aim of this stabilization is to control such plants by a possibly nonlinear static state feedback law that achieves global asymptotic stability in the absence of disturbances, while guaranteeing a bounded variance of the state vector for all time in the presence of disturbances and Gaussian distributed initial conditions. We report complete results for both continuous- and discrete-time open-loop critically stable plants.
Promoting consumer environmental friendly purchase behaviour: a synthesized model from three short-term longitudinal studies in Australia

This study aims to develop a predictive model of consumer behaviour in the context of environmental purchases. Each of three environmental behaviours consisting of 250 respondents was collected in Australia using a short-term longitudinal survey. This research is novel in several ways. First, the article investigates the influence of self-determination on the relationship between the two normative components of attitude and behavioural intentions, which represent the integration of the Theory of Planned Behaviour and the Self-Determination Theory, to provide a nuanced understanding of the effects of intrinsically based motivation and extrinsically based motivation on behavioural intentions. Second, our work highlights the important role that planning plays in the translation of behavioural intentions into behaviour. The results show that the behaviour of consumers who report high levels of self-determination is strongly predicted by personal norms. Meanwhile, planning is a significant mediator of the effect of consumers’ intentions on performing a given behaviour.
Framing the ultimatum game: the contribution of simulation

It has now become widely accepted that economic decisions are influenced by cognitive and emotional processes. In the present study, we aimed at disentangling the neural mechanisms associated with the way in which the information is formulated, i.e., framing effect, in terms of gain or loss, which influences people's decisions. Participants played a fMRI version of the Ultimatum Game (UG) where we manipulated bids through two different frames: the expression “I give you” (gain) focusing on money the respondent would receive if she/he agreed with the proponent, and the expression “I take” (loss) focusing on the money that would be removed from the respondent in the event that she/he accepted the offer. Neuroimaging data revealed a frame by response interaction, showing an increase of neural activity in the right rolandic operculum/insular cortex, the anterior cingulate, among other regions, for accepting the frame “I take” vs. rejecting, as compared to accepting the frame “I give you” vs. rejecting. In addition, the left occipito-temporal junction was activated for “I take” vs. “I give you” for offer 5, corresponding to the equal offer made unpleasant by the presence of the frame “I take,” where is the proposer that takes the money. Our data extend the current understanding of the neural substrates of social decision making, by disentangling the structures sensitive to the way in which the information is formulated (i.e., framing effect), in terms of gain or loss.
AIS Electronic

To account for managerial decision flexibility in risky IT investments, Real Option Valuation (ROV) has been advocated. ROV formalizes managers’ intuition, thus creating a disciplined decision making process. However, evidence suggests that ROV is usually utilized intuitively by professionals, in the form of “Real Option Thinking”, and is subject to various judgmental biases. We focus on growth options for this study. Prior research has shown that, while valuing projects with real options, managers ascribe the greatest importance to projects with growth options. Similar results hold for IT projects, where IT managers perceive a growth option as adding more value to the project. This perception of growth options might suggest their vulnerability to th e IT managers’ risk preferences, through Prospect Theory. By conducting a survey-based experiment among 150 IT professionals, our results indicate that gender and experience impact biases in growth option exercise decisions significantly, depending on project size. However, we also observe some exceptions
Spectral analysis of the interior transmission eigenvalue problem

In this paper we prove some results on interior transmission eigenvalues. First, under reasonable assumptions, we prove that the spectrum is a discrete countable set and that the generalized eigenfunctions span a dense subspace in the range of resolvent. This is a consequence of the spectral theory of Hilbert–Schmidt operators. The main ingredient is the proof of a smoothing property of the resolvent. This allows us to prove that a power of the resolvent is Hilbert–Schmidt. We obtain an estimate of the number of eigenvalues, counted with multiplicities, with modulus less than t2 when t is large. We also prove some estimate on the resolvent near the real axis when the square of the refraction index is not real. Under some assumptions we obtain a lower bound for the resolvent using results obtained by Dencker, Sjöstrand and Zworski on the pseudospectrum.
The Effect of Feedback on Chord Typing

The amount of visual feedback when using a mobile device in a busy context is often limited. For example, while texting and walking in a crowded place, we need to focus on the environment and not on the phone. A way to type fast, accurately and with limited visual feedback is represented by chording keyboards. We present a study on such a chording keyboard prototype and analyze the influence of having visual, audio or no feedback at all on the typing process. The typing rates are the same under all three conditions, with an average of 20 words per minute, after approximately 350 minutes of practice. The average error rates are the lowest in the absence of feedback (2.41%) and the highest when the users can see what has been typed (4.03%). Considering these results, the proposed text input method is a viable option in situations where visual attention is already committed to other tasks
The Formation of Risk Sharing Networks Gprg-wps-037 the Formation of Risk Sharing Networks

This paper examines the endogenous formation of risk sharing networks in the rural Philippines. We show that geographic proximity is a major determinant of interpersonal relationships. We …nd little evidence that people form relationships to pool income risk. The existence of a pre-existing relationship between two individuals is a major determinant of subsequent gifts and informal loans between them, controlling for other proximity factors. From this we conclude that these transfers and informal loans are embedded in interpersonal relationships. These relationships are largely determined by proximity factors and are only weakly the result of purposeful diversi…cation of income risk. There is, however, some evidence that the formation of risk sharing links is aimed at pooling health risk. The paper also makes a methodological contribution to the estimation of dyadic models. We are grateful to Susan Lund for making the data available to us. The support of the Economic and Social Research Countil (UK) and of the Pew Foundation are gratefully acknowledged. The work is part of the programme of the ESRC Global Poverty Research Group.
Spatial and Temporal Responses to an Emissions Trading System Covering Agriculture and Forestry: Simulation Results from New Zealand

We perform simulations using the integrated Land Use in Rural New Zealand (LURNZ) model to analyze the effect of various New Zealand emissions trading scheme (ETS) scenarios on land use, emissions and output in a temporally and spatially explicit manner. We compare the impact of afforestation to the impact of other land-use change on net greenhouse gas emissions and evaluate the importance of the forestry component of the ETS relative to the agricultural component. We find that the effect of including agriculture in the ETS is small relative to the effect of including forestry. We also examine the effect of land-use change on the time profile of net emissions from the forestry sector. Finally, we present projections of future agricultural output under various policy scenarios.
An integrated model for next page access prediction

Accurate next web page prediction benefits many applications, e-business in particular. The most widely used techniques for this purpose are Markov Model, association rules and clustering. However, each of these techniques has its own limitations, especially when it comes to accuracy and space complexity. This paper presents an improved prediction accuracy and state space complexity by using novel approaches that combine clustering, association rules and Markov Models. The three techniques are integrated together to maximise their strengths. The integration model has been shown to achieve better prediction accuracy than individual and other integrated models.
The Role of Agriculture in the Fast-Growing Rwandan Economy: Assessing Growth Alternatives

This study assesses the future growth prospects of Rwanda. The report first focuses on broad economic growth using a rather aggregated 18-sector dynamic general equilibrium model to display the trade-off between rapid growth and structural change. The analysis shows that with the current investment pattern, rapid growth is possible but structural transformation is slow. With an overvalued exchange rate, growth in the tradable sector slows down and its share in the economy stays small. The importance of agriculture thus should be considered in the broad development strategy, for its role not only in poverty reduction but also in economic growth.
Major element, rare earth element, and sulfur isotopic composition of a high‐elevation firn core: Sources and transport of mineral dust in central Asia

The arid region extending from the Caspian Sea into China contains some of the most extensive dust aerosol production areas in the world. Major element (Al, Fe, Ca, and S), rare earth element (REE), and isotopic (δ34S and δ18O) data from a 14.4‐m‐long firn core recovered on the Inilchek Glacier (Tien Shan Mountains, Kyrgyzstan; 5100‐m elevation) are presented and used to investigate the composition, sources, and transport of mineral dust to this central Asian site. The combination of geochemical compositions points to three distinct types of mineral deposits (loess, calcium carbonate, and gypsum), which do not covary in a linear fashion during the period recorded in the firn core, (1992–1998). Loess, identified by its REE composition, is characterized by distinct large‐scale deposition events and by ubiquitous background deposition at other times. Significant interannual‐scale variability is evident, with the two largest loess events occurring within a single accumulation year, (1997) and background conditions prevailing during 1994–1996. REE compositions, specifically Nd/Yb ratios, point to multiple sources and transport directions of loess to Inilchek Glacier. Nonloess sources provide a significant fraction of the total Ca and S deposited at the Inilchek Glacier. Hence the downcore profiles of Ca and S reflect variability in the deposition of calcium carbonate and gypsum. Differences in the sulfur isotopic composition (δ34S) of high dust period (+15.0‰) and low (background) dust period (+5.4‰) samples provide strong evidence for two sources of sulfate. The former isotopic composition reflects a marine evaporite source of which there are many to the west of the Tien Shan Mountains. The latter composition indicates that a major portion of the atmospheric SO42− was derived from anthropogenic emissions. While the deposition of non‐loess Ca (calcite) and non‐loess S (gypsum) is also high during the periods of high loess deposition, there is pronounced Ca and S variability during background loess periods, (1994–1996). We suggest that the observed geochemical variability in the firn core can be explained by changes in local‐ to regional‐scale atmospheric circulation and associated transport from multiple dust sources (western Kyrgyzstan/Kazakhstan versus the Taklimakan Desert, China).
Predictors Of Consumers’ Choice Of Buying Outlets In Imo And Abia States, Nigeria

This study examines the predictors of consumer choice of buying outlet using shoppers in Imo and Abia States. The predictors were modeled as outlet attributes, demographic attribute and product attribute. A sample size of 272 was used for the study while questionnaire served as the data collection instrument. Stated hypotheses were tested with multiple regression analysis in SPSS version 20. Findings revealed that the three predictors (product, outlet and demographic attributes) are significant predictors of choice of buying outlets by consumers. Further analysis however showed that parking space and price which are variables under outlet and product attributes respectively are not significant predictors of choice of shopping outlet. The study recommended among others that shop owners and managers should monitor closely the variables disclosed as significant predictors while striving to adopt the conceptual model of predictors presented in this work.
University of Pennsylvania Working Papers in Linguistics New Directions in Sociolinguistic Cognition New Directions in Sociolinguistic Cognition New Directions in Sociolinguistic Cognition

Variationists have largely, though often implicitly, subscribed to a model of social cognition that characterizes complex social reasoning as conscious and deliberative (e.g. the sociolinguistic monitor), in opposition to rapid and automatic linguistic behaviors (e.g. the vernacular). This paper argues against that assumption, presenting evidence from the field of social cognition which documents automatic processing in the formation of social perceptions, the triggering and pursuit of goals and the effects of stereotype-based priming. Implications and future directions for variation are discussed.
Solitons in a double pendulums chain model, and DNA roto-torsional dynamics

Abstract It was first suggested by Englander et al to model the nonlinear dynamics of DNA relevant to the transcription process in terms of a chain of coupled pendulums. In a related paper [4] we argued for the advantages of an extension of this approach based on considering a chain of double pendulums with certain characteristics. Here we study a simplified model of this kind, focusing on its general features and nonlinear travelling wave excitations; in particular, we show that some of the degrees of freedom are actually slaved to others, allowing for an effective reduction of the relevant equations
The role of perceived autonomy support in predicting university students’ academic success mediated by academic self-efficacy and school engagement

Abstract This research analysed relationships between perceived teachers’ autonomy support and academic success, with self-efficacy and school engagement acting as mediators. This was a survey of 870 students from the Universidad Autónoma de Santo Domingo (Dominican Republic), with a mean age of 26.99 years (SD = 5.09), 50.6% were men. Factor structure for measures was established. Then a structural equation model based on theoretical considerations was estimated. Final outcomes were grades and subjective well-being. Self-efficacy and school engagement were considered mediators, and the exogenous variable was perceived teacher’s autonomy support. This initial model fitted the data well, but several theoretically driven modifications were made and a final model was established. Teacher’s autonomy has important direct effects on engagement and self-efficacy, and it also was a direct predictor of subjective well-being. Self-efficacy and engagement had direct effects on subjective well-being. Grades were explained by the effects of self-efficacy, cognitive, and emotional engagement. As a conclusion, the main chain of effects hypothesised among the variables fitted the observed data well, and can, therefore, be tentatively supported: self-efficacy and engagement mediate the effects of autonomy support on academic achievement.
Induced abortion in Pakistan: community-based research.

INTRODUCTION This paper highlights the findings pertaining to profiles of abortion seekers, reasons for induced abortions and methods used, and treatment for post-abortion complications (PACs). METHODS This paper is a review of community studies on induced abortion in Pakistan between 1969 and 2010, including the Induced Abortion Survey (IAS) 2010, in which the author took part. RESULTS Findings from the review show that the profile of abortion seekers has remained by and large that of uneducated women aged over 30 with at least three children. A predominant reason for seeking abortion was contraceptive failure. Providers fall into both trained and untrained categories, yet complication rates are high even when women believe that they are going to safe providers in clinics or hospital settings. Dilation and curettage (D&C) (or evacuation) predominates among methods used while the use of folk methods may be on the decline. The IAS shows that women seek assistance for complications sooner than earlier studies have found. CONCLUSION The review shows that despite a perceived stigma around the subject, community-level research is possible and further studies need to be done in other parts of the country. The paper concludes with suggestions for more community studies to explore these findings further and capture the diversity of the Pakistani context. It also suggests that advocacy and further research into the role of "semi-safe" providers be explored.