Miracle-dz/UniFAR-FTUs huggingface dataset:
Moving Into Stillness: A Mindfulness-Based Stress Prevention/Stress Reduction Program For College Students

Stress is one of the leading factors that negatively affect success of students in college, yet few formal stress reduction programs for college students exist. In this dissertation the issue of stress in college students and how this issue is currently being conceptualized will be addressed. A program will be presented that can be used by colleges to help students learn how to manage stress and develop resilience to it. First, an overview of the literature concerning college student mental health and the role of stress is presented, followed by a review of mindfulness-based interventions and positive psychology interventions. An examination of wilderness therapy is presented next, including a rationale regarding the utility of a mindfulness based stress reduction program that is derived from a wilderness therapy program model. Program considerations, pretreatment issues, and assessment methods are reviewed,. and a model for evaluating the intervention is offered. Finally, the "Moving into Stillness Program" is presented as a stress reduction intervention for college students. Degree Type Dissertation
To Set One's Heart in a Violent World

“Religion is like a cow. It kicks but it gives milk, too. ” Attributed to the Hindu mystic and guru Sri Ramakrishna (Love 2007, xii; cf. Cousineau 2003), the saying can be manipulated for scholars of this guild and field: Religious Education is like a cow. It gives milk, but it kicks, too. Let me explain. Religious education (RE) as a polymorphic field and this Religious Education Association (the REA) can boast of a fine repertoire of expressions defining the chief aims of “religion” and “education. ” Of the numerous to choose from, I invoke the words of two giants in acknowledgment of how they have indirectly haunted my imagination for this year’s conference theme. They are Gabriel Moran and the late Sara Little. Gabe Moran had to withdraw his participation in this conference’s first plenary due to troubling health, so to his words I turn first in the spirit of dialogic imagination. Informed by research and teaching in ethics and international human rights, Moran distills in his book Living Nonviolently: Language for Resisting Violence (2011), a profoundly simple telos for the educational enterprise. Education, in its most fundamental sense, is “the reshaping of life’s forms with end and without end” (167). Religious education, I would extend, following Moran-speak, is the multiplicity of “forms” by which we nourish and rear—to give milk to—one another in what must be a “lifelong and lifewide” (164) commitment to active peaceful, nonviolent living. I will come back to this a bit later. For now, we turn to the vocabulary of Sara Little: the telos set forth by Moran and others like him is what we religious educators “set our hearts” on, following Little’s (1983) refresher on the root meaning of credo. “Conscious attention to belief formation” (32) is paramount for the teaching ministry of Christian faith communities, Little wrote, “[t]o link lives of individuals and communities to larger, ultimate realities and purposes” (21). Linking purposeful teaching to the formation of holistic belief systems—not dogma, but meaning-making structures—that connect
Bayes vs. Resampling: A Rematch

We replay an investment game that compares the performance of a player using Bayesian methods for determining portfolio weights with a player that uses the Monte Carlo based resampling approach advocated in Michaud (1998). Markowitz and Usmen (2003) showed that the Michaud player always won. However, in the original experiment, the Bayes player was handicapped because the algorithm that was used to evaluate the predictive distribution of the portfolio provided only a rough approximation. We level the playing field by allowing the Bayes player to use a more standard algorithm. Our results sharply contrast with those of the original game. The final part of our paper proposes a new investment game that is much more relevant for the average investor - a one-period ahead asset allocation. For this game, the Bayes player always wins.
Impairment of BMIPP uptake precedes abnormalities in oxygen and glucose metabolism in hypertrophic cardiomyopathy.

UNLABELLED Impairment of fatty acid uptake is shown to precede myocardial perfusion abnormality using 123I-labeled 15-(p-iodophenyl)-3-(R,S)-methylpentadecanoic acid (BMIPP) in an experimental model of hypertrophic cardiomyopathy (HCM) and in human studies. We have recently demonstrated that abnormalities of both glucose and oxidative metabolism precede the reduction of blood flow in HCM. The main purposes of this study were to assess the frequency of abnormal findings in FDG uptake, BMIPP uptake and oxygen metabolism and to clarify the relationship among these metabolic parameters by using PET and SPECT. METHODS Twenty-eight subjects with HCM underwent FDG- and acetate-PET and thallium- and BMIPP-SPECT studies at rest, respectively. After correcting for partial volume effect, real percentages of FDG and BMIPP uptake were calculated. In addition, the clearance rate constant (K mono) of acetate was measured and normalized (%) to estimate the oxygen metabolism. RESULTS There were various metabolic abnormalities observed in patients with HCM. BMIPP uptake was often impaired without significant reduction of K mono values or FDG uptake. Thus, abnormality of BMIPP uptake was more frequently observed than that for FDG uptake or K mono values (p < 0.0001, respectively). FDG uptake was relatively maintained even in the segments with reduced K mono values and reduced BMIPP uptake. CONCLUSION HCM shows a variety of metabolic patterns; however, the results of our study suggest that reduction of BMIPP uptake appears to be the most sensitive indicator of metabolic abnormalities followed by reduction of oxidative metabolism in patients with HCM.
Essays in capital markets

In the first chapter, I provide evidence that investment-specific technological change is a source of systematic risk. In contrast to neutral productivity shocks, the economy needs to invest to realize the benefits of innovations in investment technology. A positive shock to investment technology is followed by a reallocation of resources from consumption to investment, leading to a negative price of risk. A portfolio of stocks that produce investment goods minus stocks that produce consumption goods (IMC) proxies for the shock and is a priced risk factor. The value of assets in place minus growth opportunities falls after positive shocks to investment technology, which suggests an explanation for the value puzzle. I formalize these insights in a dynamic general equilibrium model with two sectors of production. The model's implications are supported by the data. The IMC portfolio earns a negative premium, predicts investment and consumption in a manner consistent with the theory, and helps price the value cross section. In the second chapter, based on joint work with Igor Makarov, we use heteroscedasticity of stock returns as an identification tool to isolate four robust factors in the U.S. industry returns. The first factor can be viewed as a proxy for economy wide demand shocks. The second factor is a portfolio of stocks producing investment goods minus stocks producing consumption goods (IMC). The third factor differentiates between cyclical vs. non-cyclical stocks. Finally, the fourth factor is consistent with a proxy for shocks to input good prices. The extracted factors are shown to be important in explaining the cross-section of expected returns. Unlike the CAPM or the Fama and French three factor model, they successfully price the cross-section of 48 industry portfolios and do a good job at explaining the 25 Fama and French size and book-to-market portfolios. The fourth ("input") factor is found to be a robust predictor of the value-weighted market portfolio. In the third chapter, based on joint work with Jiro Kondo, we propose a new foundation for the limits to arbitrage based on financial relationships between arbitrageurs and banks. Financially constrained arbitrageurs may choose to seek additional financing from banks who can understand their strategies. However, a hold-up problem arises because banks cannot commit to provide capital and have the financial technology to profit from the strategies themselves. Wary of this, arbitrageurs will choose to stay constrained and limit their correction of mispricing unless banks have sufficient reputational capital. Using the framework of stochastic repeated games, we show that this form of limited arbitrage arises when mispricing is largest and becomes more substantial as the degree of competition between banks intensifies and arbitrageur wealth increases. Thesis Committee: Leonid Kogan, Associate Professor of Finance, Chair Stephen A. Ross, Franco Modigliani Professor of Financial Economics Andrew W. Lo, Harris & Harris Group Professor; Director L.F. E. Jun Pan, Mitsubishi Career Development, Associate Professor of Finance
Mechanism Design with Public Goods: Committee Karate, Cooperative Games, and the Control of Social Decisions through Subcommittees

Axioms from social choice theory and the core of cooperative games in effectiveness form are used to design an organization that influences a voting group to choose the alternative preferred by a designer. The designer has information about individual preferences and can dictate organization but cannot dictate choice. The designer’s influence works through decision centers (subcommittees). Subcommittee memberships, subcommittee separation, the alternatives available to the subcommittees, the chairpersons and voting rules can be used to create games with appropriate configurations of cores that result in group decisions according to the designer's wishes. The institutions leave considerable flexibility to subcommittee decisions and appear to be fair. Manipulation is not detected. Core alternatives emerge as the group choice. Conflicting individual preferences enable organizational structures such that a wide range of alternative can be made the solution. Experiments demonstrate that the resulting model is a very accurate predictor of the group choice.
Self-Reported Depression and Use of Antidepressants After Stroke: A National Survey

Background and Purpose— Depression after stroke is often described as underdiagnosed and undertreated. However, there are few data on self-reported depression and use of antidepressants in stroke patients at large. Materials and Methods— In the Swedish national quality assessment register, Riks-Stroke, 15 747 stroke survivors are recorded. They were asked about depressive mood and antidepressant treatment 3 months after stroke. Age-specific prevalence of antidepressant use after stroke was calculated. Results— At 3 months after stroke, 12.4% of male and 16.4% of female stroke survivors reported that they always or often felt depressed. In a multiple logistic regression model, female sex, age younger than 65 years, living alone, having had a recurrent stroke, being dependent on others, and institutional living 3 months after stroke were independent predictors of self-reported depression. Antidepressant medication was used by 22.5% of men and 28.1% of women who had had a stroke. Of patients using antidepressant drugs, 67.5% did not report depressive mood. However, 8.4% of the entire cohort reported depressive mood but no treatment with antidepressants. When compared with the general population, approximately twice as many of the stroke patients were using antidepressant treatment. Conclusions— In this national survey, 1 in 7 patients reported that they felt depressed and the use of antidepressant drugs after stroke was common. The widespread use of antidepressants challenges the contention that antidepressants are generally underused after stroke. However, the substantial proportion reporting depressive mood but not using treatment with antidepressants suggests that patient selection for treatment should be more precise.
System-Level Optical Interface Modeling for Microsystems

In this paper, we present an accurate and computationally efficient system-level optical propagation technique suitable for the modeling of optical interfaces. Our technique is based on extensions to the angular spectrum technique used to solve the Rayleigh-Sommerfeld formulation. By using a FFT, the angular spectrum technique is efficient and suitable for system-level modeling of the complete system. To support the reflection and transmission at optical interfaces, we implement a semi-vector technique, taking into account the polarization of the optical wavefront. The polarization is used to determine the reflection and transmission coefficients through the use of Berreman’s 4x4 matrix. Solutions are provided for typical TE and TM waves, however, wavefronts with arbitrary linear polarization are also supported. In this paper, we present a system-level simulation of a Silicon on Sapphire (SOS) interface.
Determinants of marital fertility in Pakistan: an application of the "synthesis framework".

"The present study, in the context of Pakistan, is based on intensive National Population, Labour Force, and Migration Survey data covering 10,000 households [and focuses]. on the determinants of fertility in Pakistan, specifically the determinants of the adoption of deliberate fertility regulation. The role of socio-economic modernisation and cultural factors in the determination of the potential family size and the adoption of deliberate fertility control through a knowledge of fertility regulation have also been explored. The 'Synthesis Framework' of fertility determination, applied to Sri Lanka and Colombia by Easterlin and Crimmins (1982), and with its recent modifications by Ahmed (1987), is the main vehicle for the study. "
Self-regulated learning and academic achievement : theoretical perspectives

Contents: Preface. B.J. Zimmerman, Theories of Self-Regulated Learning and Academic Achievement: An Overview and Analysis. F.C. Mace, P.J. Belfiore, J.M. Hutchinson, Operant Theory and Research on Self-Regulation. B.L. McCombs, Self-Regulated Learning and Academic Achievement: A Phenomenological View. D.H. Schunk, Social Cognitive Theory and Self-Regulated Learning. P.H. Winne, Self-Regulated Learning Viewed From Models of Information Processing. L. Corno, Volitional Aspects of Self-Regulated Learning. M. McCaslin, D.T. Hickey, Self-Regulated Learning and Academic Achievement: A Vygotskian View. S.G. Paris, J.P. Byrnes, A.H. Paris, Constructing Theories, Identities, and Actions of Self-Regulated Learners. B.J. Zimmerman, D.H. Schunk, Reflections on Theories of Self-Regulated Learning and Academic Achievement.
Nrf2 links epidermal barrier function with antioxidant defense

The skin provides an efficient permeability barrier and protects from microbial invasion and oxidative stress. Here, we show that these essential functions are linked through the Nrf2 transcription factor. To test the hypothesis that activation of Nrf2 provides skin protection under stress conditions, we determined the consequences of pharmacological or genetic activation of Nrf2 in keratinocytes. Surprisingly, mice with enhanced Nrf2 activity in keratinocytes developed epidermal thickening, hyperkeratosis and inflammation resembling lamellar ichthyosis. This resulted from upregulation of the cornified envelope proteins small proline‐rich proteins (Sprr) 2d and 2h and of secretory leukocyte peptidase inhibitor (Slpi), which we identified as novel Nrf2 targets in keratinocytes. Since Sprrs are potent scavengers of reactive oxygen species and since Slpi has antimicrobial activities, their upregulation contributes to Nrf2's protective function. However, it also caused corneocyte fragility and impaired desquamation, followed by alterations in the epidermal lipid barrier, inflammation and overexpression of mitogens that induced keratinocyte hyperproliferation. These results identify an unexpected role of Nrf2 in epidermal barrier function, which needs to be considered for pharmacological use of Nrf2 activators.
PENINGKATAN KEMAMPUAN MEMBACA DAN MENULIS AKSARA JAWA DENGAN MEDIA SCRABBLE AKSARA JAWA

Abstract: The purpose of the research is improving reading and writing ability of Javanese letters by using Javanese letters scrabble media. The form of this research was classroom action research, it consist of two cycles that each cycle consist of two meeting. Each cycle has four phases, those are planning, action implementation, observation, and reflection. Data collecting technique are observation, interview, documentation, and test. Data validity test of the research was sources triangulation and triangulation method . The techniques of data analysis used analytical interactive model (Miles and Huberman), it consists of three components, those are data reduction, data display, and taking the conclucion, and then used descriptive comparative analysis. It was compared result among cycles. The conclusion of this research is the using Javanese letter scrabble media chould improve reading and writting ability of Javanese letter at the third grade students of SD Negeri 02 Ngasem in the academic year of 2014. Abstrak : Tujuan penelitian ini adalah untuk meningkatkan kemampuan membaca dan menulis aksara Jawa dengan menggunakan media scrabble aksara Jawa. Bentuk penelitian ini adalah Penelitian Tindakan Kelas (PTK) yang berlangsung dalam dua siklus. Tiap siklus mempunyai empat tahapan yaitu perencanaan, pelaksanaan tindakan, observasi, dan refleksi. Teknik pengumpulan data adalah observai, wawancara, dokumentasi, dan tes. Uji validitas data yaitu triangulasi sumber dan triangulasi teknik. Teknik analisis data menggunakan model analisis interaktif (Miles & Huberman) yang terdiri dari tiga komponen yaitu reduksi data, penyajian data, dan penarikan kesimpulan, serta menggunakan analisis deskriptif komparatif yaitu membandingkan hasil antar siklus. Kesimpulan dari penelitian ini adalah penggunaan media scrabble aksara Jawa dapat meningkatkan kemampuan membaca dan menulis aksara Jawa pada peserta didik kelas III SD Negeri 02 Ngasem tahun 2014. Kata Kunci : Media scrabble , aksara Jawa, membaca, menulis.
IRE1, a component of the unfolded protein response signaling pathway, protects pollen development in Arabidopsis from heat stress.

The unfolded protein response (UPR) is activated by various stresses during vegetative development in Arabidopsis, but is constitutively active in anthers of unstressed plants. To understand the role of the UPR during reproductive development, we analyzed a double mutant, ire1a ire1b. The double mutant knocks out the RNA-splicing arm of the UPR signaling pathway. It is fertile at room temperature but male sterile at modestly elevated temperature (ET). The conditional male sterility in the mutant is a sporophytic trait, and when the double mutant was grown at ET, defects appeared in the structure of the tapetum. As a result, the tapetum in the double mutant failed to properly deposit the pollen coat at ET, which made pollen grains clump and prevented their normal dispersal. IRE1 is a dual protein kinase/ribonuclease involved in the splicing of bZIP60 mRNA, and through complementation analysis of various mutant forms of IRE1b it was demonstrated that the ribonuclease activity of IRE1 was required for protecting male fertility from ET. It was also found that overexpression of SEC31A rescued the conditional male sterility in the double mutant. SEC31A is involved in trafficking from the endoplasmic reticulum to Golgi and a major target of the IRE1-mediated UPR signaling in stressed seedlings. Thus, IRE1, a major component of the UPR, plays an important role in protecting pollen development from ET.
Translation with Cascaded Finite State Transducers

In this paper we discuss the use of cascaded finite state transducers for machine translation. A number of small, dedicated transducers is applied to convert sentence pairs from a bilingual corpus into generalized translation patterns. These patterns, together with the transducers are then used as a hierarchical translation memory for fully automatic translation. Results on the German--English VERBMOBIL corpus are given.
pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection

In this paper, we develop a convolutional neural network for stance detection in tweets. According to the official results, our system ranks 1 on subtask B (among 9 teams) and ranks 2 on subtask A (among 19 teams) on the twitter test set of SemEval2016 Task 6. The main contribution of our work is as follows. We design a ”vote scheme” for prediction instead of predicting when the accuracy of validation set reaches its maximum. Besides, we make some improvement on the specific subtasks. For subtask A, we separate datasets into five sub-datasets according to their targets, and train and test five separate models. For subtask B, we establish a two-class training dataset from the official domain corpus, and then modify the softmax layer to perform three-class classification. Our system can be easily re-implemented and optimized for other related tasks.
Dissociating Inhibition, Attention, and Response Control in the Frontoparietal Network Using Functional Magnetic Resonance Imaging

Evidence suggests that the right inferior frontal cortex (IFC) plays a specialized role in response inhibition. However, more recent findings indicate a broader role for this region in attentional control. Here, we used functional magnetic resonance imaging to examine the functional role of the right IFC in attention, inhibition, and response control in 2 experiments that employed novel variations of the go/no-go task. Across the 2 experiments, we observed a graded response in the right insula/IFC, whereby increasing response control demands led to an increase in activation. The results are consistent with the hypothesis that this region plays a key role in the integration of bottom-up, sensory information with top-down, response-related information to facilitate flexible, goal-directed behavior.
An extension of the Crouzeix-Raviart space to general meshes with application to quasi-incompressible linear elasticity and Stokes flow

In this work we introduce a discrete functional space on general polygonal or polyhedral meshes which mimics two important properties of the standard Crouzeix-Raviart space, namely the continuity of mean values at interfaces and the existence of an interpolator which preserves the mean value of the gradient inside each element. The construction borrows ideas from both Cell Centered Galerkin and Hybrid Finite Volume methods. The discrete function space is defined from cell and face unknowns by introducing a suitable piecewise affine reconstruction on a (fictitious) pyramidal subdivision of the original mesh. Two applications are considered in which the discrete space plays an important role, namely (i) the design of a locking-free primal (as opposed to mixed) method for quasi-incompressible planar elasticity on general polygonal meshes; (ii) the design of an inf-sup stable method for the Stokes equations on general polygonal or polyhedral meshes. In this context, we also propose a general modification, applicable to any suitable discretization, which guarantees that the velocity approximation is unaffected by the presence of large irrotational body forces provided a Helmholtz decomposition of the right-hand side is available. The relation between the proposed methods and classical finite volume and finite element schemes on standard meshes is investigated. Finally, similar ideas are exploited to mimic key properties of the lowest-order Raviart-Thomas space on general polygonal or polyhedral meshes.