Miracle-dz/UniFAR-FTUs huggingface dataset:
Religiosity and Coping in Mothers of Children Diagnosed With Cancer: An Exploratory Analysis

Although several factors related to coping in parents of children diagnosed with cancer have been explored, little is known about their religious beliefs and behavior and its relationship to coping. The purpose of this study was to provide preliminary data on the religious beliefs and behaviors of mothers of children with cancer and the relation to their psychological adjustment. Twenty-seven mothers of children diagnosed with cancer completed several measures of religious beliefs and behaviors as well as the Beck Depression Inventory—II. The sample was highly religious and specifically Christian. Thirty percent of the mothers reported elevated levels of depressive symptoms, and these mothers reported lower levels of religious belief and behavior than the mothers who denied depressive symptoms. These data suggest a relationship between religiosity and positive coping behavior that should continue to be explored.
Needle in a Haystack: Limiting the Search Space in Mission-aware Packet Forwarding for Drones

Micro aerial vehicles may build a collective of smart sensor objects cooperating in civilian missions such as search and rescue, farmland monitoring, or surveillance. Wireless connectivity is a prerequisite for transferring images and other sensor data to the ground. Though aerial vehicles may set up a multi-hop wireless network on their own, vehicle movement causes frequent changes of the wireless signal quality and intermittent connectivity, which poses challenges to end-to-end data delivery and renders traditional routing approaches impractical. We address this problem by including delay-tolerant packet forwarding. Further, we make forwarding mission-aware, i.e., aware of future positions and connection opportunities derived from the waypoints of the MAVs' mission. The resulting path options for packet forwarding open a vast search space. We present a solution to find a path efficiently based on the $A^*$ search algorithm. We study the performance of our mission-aware algorithm compared to a delay-tolerant variant of geographic routing in simulation and in a testbed of quadcopters with IEEE 802.11n aerial links. Our first results reveal that for simple scenarios, the benefit of mission-aware forwarding is limited, yet, in more sophisticated scenarios, mission-aware forwarding can alleviate inefficient forwarding and improve performance.
Application of Semantic Feature Analysis as a Treatment for

Despite agreement that dysnomia affects virtually every aphasic patient, there is no consensus about the purpose and effectiveness of techniques to treat it. Semantic Feature Analysis (SFA) is a treatment technique designed to improve retrieval of conceptual information by accessing semantic networks. This paper reports the application of SFA as a treatment for aphasic dysnomia to a subject with Broca's aphasia. SFA was effective for improving confrontation naming and for generalizing the improvement to untreated pictures. However, no generalization to connected speech was seen on the measures used in this study. Discussion will focus on possible reasons for these results.
ADP1 Affects Plant Architecture by Regulating Local Auxin Biosynthesis

Plant architecture is one of the key factors that affect plant survival and productivity. Plant body structure is established through the iterative initiation and outgrowth of lateral organs, which are derived from the shoot apical meristem and root apical meristem, after embryogenesis. Here we report that ADP1, a putative MATE (multidrug and toxic compound extrusion) transporter, plays an essential role in regulating lateral organ outgrowth, and thus in maintaining normal architecture of Arabidopsis. Elevated expression levels of ADP1 resulted in accelerated plant growth rate, and increased the numbers of axillary branches and flowers. Our molecular and genetic evidence demonstrated that the phenotypes of plants over-expressing ADP1 were caused by reduction of local auxin levels in the meristematic regions. We further discovered that this reduction was probably due to decreased levels of auxin biosynthesis in the local meristematic regions based on the measured reduction in IAA levels and the gene expression data. Simultaneous inactivation of ADP1 and its three closest homologs led to growth retardation, relative reduction of lateral organ number and slightly elevated auxin level. Our results indicated that ADP1-mediated regulation of the local auxin level in meristematic regions is an essential determinant for plant architecture maintenance by restraining the outgrowth of lateral organs.
The impact on voltage stability of the integration of renewable energy sources into the electricity grids

The paper presents the impact on voltage stability of the integration of renewable energy sources into the electricity grids. The P-V curves are built by using the Power System Analysis Toolbox (PSAT) and the continuation power flow (CPF) method. Different levels of wind penetration were considered in the three study cases presented in the paper.
Assessing Effects of Racial Perceptions on Political Knowledge : A Bayesian Approach to Instrumental Variables ∗

Causal inference in observational studies is notoriously difficult without physical randomization of treatment. Yet when the treatment of interest cannot be randomized, as is often the case in political science, randomized instruments may enable scholars to draw causal inferences of theoretical interest. We illustrate a Bayesian framework developed in the statistical literature of analyzing, making explicit, and relaxing crucial assumptions that are implicit in virtually all instrumental variables analyses. We provide an application to assess the causal effect of racial perceptions on answers to a political knowledge survey. The application demonstrates the usefulness of this framework in permitting researchers to gain more leverage over theoretical quantities of interest with greater scientific credibility. ∗Many thanks to Ian Ayres, Jim Alt, Matt Hindman, Keisuke Hirano, Kosuke Imai, Gary King, Chenxin Li, Kevin Quinn, and Elizabeth Stuart for very helpful discussions and comments. Research support was provided by the Center for Basic Research in the Social Sciences and the Program on Justice, Welfare and Economics. All errors are mine alone. †Ph.D. Candidate, Department of Government, Harvard University; J.D. Candidate, Yale Law School; Center for Basic Research in the Social Sciences, 34 Kirkland Street, Cambridge MA 02138, Tel: 617-496-3798, Fax: 617-496-2254, http://www. people.fas.harvard.edu/ ̃deho , deho@fas.harvard.edu.
Death of a president.

In undergoing this life, many people always try to do and get the best. New knowledge, experience, lesson, and everything that can improve the life will be done. However, many people sometimes feel confused to get those things. Feeling the limited of experience and sources to be better is one of the lacks to own. However, there is a very simple thing that can be done. This is what your teacher always manoeuvres you to do this one. Yeah, reading is the answer. Reading a book as this death of a president and other references can enrich your life quality. How can it be?
Online social networks and learning

– This viewpoint essay seeks to argue that young people's online social networking can serve as sites for and supports for student learning in ways not currently assessed. , – The two themes presented are based on a select review of the research literature as well as the author's explorations of young people's online social networking practices within MySpace and Facebook, two naturally occurring, youth‐initiated sites, as well as in an online social networking application designed for environmental science education and civic action. , – Two themes are presented: (1) social network sites can serve as direct and indirect supports for learning, such as providing an emotional outlet for school‐related stress, validation of creative work, peer‐alumni support for school‐life transitions, and help with school‐related tasks; and (2) online social networking can stimulate social and civic benefits, online and offline, which has implications for education. , – Currently, social media are largely blocked in schools due to privacy, security, and copyright concerns. In the USA, the National Educational Technology Plan published in November 2010, and recent educational standards, both assume 24/7 access and use of newer web technologies for learning and advocate appropriation of technologies students already use, and prefer to use, for educational purposes. Consideration of how social media, such as social network sites, currently support informal learning may advance one's ability to construct effective social media‐enabled environments for more formal learning purposes. , – This paper presents concrete examples of how social network sites, typically seen as a distraction, might be re‐envisioned as supports for revised student learning outcomes.
Environmental Health: a Global Access Science Source Menstrual Function among Women Exposed to Polybrominated Biphenyls: a Follow-up Prevalence Study

Background: Alteration in menstrual cycle function is suggested among rhesus monkeys and humans exposed to polybrominated biphenyls (PBBs) and structurally similar polychlorinated biphenyls (PCBs). The feedback system for menstrual cycle function potentially allows multiple pathways for disruption directly through the hypothalamic-pituitary-ovarian axis and indirectly through alternative neuroendocrine axes.
Blockade of the renin-angiotensin system increases graft survival in patients with chronic allograft nephropathy.

BACKGROUND Chronic allograft nephropathy (CAN) is the leading cause of late allograft failure, with only limited treatment options. Blockade of the renin-angiotensin system (RAS) decreases progression in diabetic and non-diabetic renal disease, but the effect on CAN is as yet unclear. Therefore, we have studied retrospectively the effect of RAS blockade on renal survival in patients with biopsy-proven CAN. METHODS The medical records of 72 patients with biopsy-proven CAN were evaluated with regard to time course of graft function, proteinuria, blood pressure, and antihypertensive and immunosuppressive treatment. Cox's proportional hazards model was used for analysing renal graft survival after the index biopsy. RESULTS On univariate analysis, histological determinants influencing renal survival were the chronic interstitial and chronic tubular score, and clinical parameters were the serum creatinine level at the time of the biopsy, the relative change in serum creatinine level between 12 months post-transplantation and at the time of the biopsy, mean systolic and diastolic blood pressure after the biopsy, and RAS blockade by angiotensin-converting enzyme inhibitor or angiotensin receptor blocker. On multivariate analysis, graft outcome was influenced by the relative change in serum creatinine level between 12 months post-transplantation and the time of the index biopsy, the urinary protein excretion, the mean diastolic blood pressure after the index biopsy, and RAS blockade. Renal graft survival after treatment with RAS blockade was 6.3 (0.9-10.9) years as opposed to 1.8 (0.1-6.7) years in untreated patients (P = 0.003). CONCLUSION RAS blockade increases graft survival in CAN. In view of the limited treatment options for CAN, this finding is of importance and needs confirmation by a prospective randomized trial.
Simple Epitaxial Lateral Overgrowth Process as a Strategy for Photonic Integration on Silicon

In this paper we propose a strategy to achieve monolithic integration of III-Vs on Si for photonic integration through a simple process. By mimicking the SiO2/Si/SiO2 waveguide necessary to couple light from the gain medium on its top, we adopt a ~2 μm thick silicon dioxide mask for epitaxial lateral overgrowth (ELOG) of InP on Si. The ELOG InP layer as wells as the subsequently grown quantum wells (~1. 55 μm) have been analyzed by photoluminescence and transmission electron microscopy and found to have high optical quality and very good interface. The studies are strategically important for a monolithic platform that holds great potential in addressing the future need to have an integrated platform consisting of both III-Vs and Si on same chip.
The Kingston Geriatric Cognitive Battery

Dementing illnesses are thought to account for over 50% of all mental health problems among the elderly. The diagnoses and treatments of dementing illnesses are complex, and occupational therapists frequently are called upon to contribute to the multidisciplinary assessment of cognitive impairment. The Kingston Geriatric Cognitive Battery is a tool developed to assist therapists in evaluating demented patients. This article describes the Kingston Geriatric Cognitive Battery and provides data on its validity and rater reliability.
Expression Analysis of MYC Genes from Tamarix hispida in Response to Different Abiotic Stresses

The MYC genes are a group of transcription factors containing both bHLH and ZIP motifs that play important roles in the regulation of abscisic acid (ABA)-responsive genes. In the present study, to investigate the roles of MYC genes under NaCl, osmotic and ABA stress conditions, nine MYC genes were cloned from Tamarix hispida. Real-time reverse-transcriptase (RT)-PCR showed that all nine MYC genes were expressed in root, stem and leaf tissues, but that the levels of the transcripts of these genes in the various tissues differed notably. The MYC genes were highly induced in the roots in response to ABA, NaCl and osmotic stresses after 3 h; however, in the stem and leaf tissues, MYC genes were highly induced only when exposed to these stresses for 6 h. In addition, most of these MYC genes were highly expressed in roots in comparison with stems and leaves. Furthermore, the MYC genes were more highly induced in roots than in stem and leaf tissues, indicating that these genes may play roles in stress responses mainly in the roots rather than the stems and leaves. The results of this present study suggest that MYCs are involved in salt and osmotic stress tolerances and are controlled by the ABA signal transduction pathway.
Efficient evaluation of communication system performance in complex interference situations

Electromagnetic interference can cause severe degradation of the performance of wireless communication systems. In order to predict or handle the performance degradation, methods for calculating the impact of the interference is needed. However, for a communication system that is subjected to several impulsive interference sources, the performance is hard to calculate exactly. In addition, using standard approximations such as the Gaussian approximation can give large errors. In this paper we present a method for evaluating the communication system performance in complex interference situations, using only information that can be found from measurements. The performance is estimated without time-consuming simulations or complex calculations. The method is validated by simulations and shown to perform well. The proposed method can be used both in tools for predicting or evaluating the performance degradation, and as a quick way to single out the most harmful interference source in a given situation.
Statistical language models for large vocabulary spontaneous speech recognition in dutch

In state-of-the-art large vocabulary automatic recognition systems, a large statistical language model is used, typically an N-gram. However in order to estimate this model, a large database of sentences or texts in the same style as the recognition task is needed. For spontaneous speech one doesn’t dispose of such database since it should consist of accurate thus expensive orthographictranscriptions of spoken audio. This paper investigates how readily available large news paper corpora can be used to improve language models for spontaneous speech recognition although both language styles differ considerably. A technique is proposed that does a perplexity based automatic selection of appropriate news paper articles and that subsequently uses these texts in the language model estimation. Recognition experiments on spontaneous broadcast speech in Dutch showed signi(cid:2)cant improvements using this technique.
Discrete Frobenius-Perron Tracking

A novel discrete tracking framework is presented and applied to the problem of predicting the chaotic dynamics of the output current generated by a Switched-Mode Power Supply (SMPS). This framework is related to Particle Filter methods but differs by using the concept of a discretised FrobeniusPerron operator for evolving and transforming probability density functions (pdfs). The resulting algorithm is shown to be completely expressible in terms of linear algebraic operations.
Investigating Grid-Based Navigation: The Impact of Physical Disability

Hands-free speech-based technology can be a useful alternative for individuals that find traditional input devices, such as keyboard and mouse, difficult to use. Various speech-based navigation techniques have been examined, and several are available in commercial software applications. Among these alternatives, grid-based navigation has demonstrated both potential and limitations. In this article, we discuss an empirical study that assessed the efficacy of two enhancements to grid-based navigation: magnification and fine-tuning. The magnification capability enlarges the selected region when it becomes sufficiently small, making it easier to see the target and cursor. The fine-tuning capability allows users to move the cursor short distances to position the cursor over the target. The study involved one group of participants with physical disabilities, an age-matched group of participants without disabilities, and a third group that included young adults without disabilities. The results confirm that both magnification and fine-tuning significantly improved the participants’ performance when selecting targets, especially small targets. Providing either, or both, of the proposed enhancements substantially reduced the gaps in performance due to disability and age. The results will inform the design of speech-based target selection mechanism, allowing users to select targets faster while making fewer errors.
MENC : The National Association for Music Education Fundamentals of Acoustical Design of the Soprano Clarinet

A Research Study of a Technique for Adjusting Clarinet Reeds Author(s): Lawrence J. Intravaia and Robert S. Resnick Reviewed work(s): Source: Journal of Research in Music Education, Vol. 16, No. 1 (Spring, 1968), pp. 45-58 Published by: Sage Publications, Inc. on behalf of MENC: The National Association for Music Education Stable URL: http://www.jstor. org/stable/3344436 . Accessed: 17/09/2012 23:41
Evaluation of a Digital Behavioral Counseling Program for Reducing Risk Factors for Chronic Disease in a Workforce

Objective: To evaluate a digitally delivered, intensive behavioral counseling program for a workforce at risk for obesity-related chronic disease. Methods: Employees were offered a digital health program modeled after the diabetes prevention program (DPP). Annual workforce health assessments were used to examine changes in chronic disease risk factors between participants (n = 634) relative to a matched comparison group (n = 1268). Results: Overall, employees were gaining an average of 3.5 pounds annually before program inception. Program engagement was positive; 83% completed the majority of the curriculum and 31% lost at least 5% of their starting weight. Compared with non-participating peers, participants demonstrated reduced weight, improved fasting blood glucose, and improved nutritional intake after a year. Conclusions: The digital health program was effective for engaging employees in health behavior change. Digital options facilitate widespread implementation.
Schedulability analysis for fault tolerant real-time systems

Predictability and fault tolerance are major requirements for complex real-time systems, which are either safety or mission critical. Traditionally fault tolerant techniques were employed to tackle the problem of ensuring correctness in the value domain only. We stress that the fault tolerance requirements and timing constraints are not orthogonal issues as they appear to be, and hence any viable approach must be an integrated one. Fault tolerance in a real-time system implies that the system is able to deliver correct results in a timely manner even in the presence of faults. Techniques employing time redundancy are commonly used for tolerating a wide class of faults such as transient faults. In these systems, it is essential that the exploitation of time redundancy for correctness does not jeopardize the timeliness attribute. Hence scheduling aspects of fault tolerant real-time systems become all the more important. The research work described in this thesis, focuses on the provision of tests for the feasibility analysis of fault tolerant task sets. These feasibility tests are based on fixed priority scheduling theory, and are formulated under various assumptions regarding frequency of fault occurrences and fault recovery strategy. We have analysed the effects of checkpointing schemes with respect to schedulability. Another important issue we addressed is the estimation of the system’s tolerance to perturbations in its timing parameters. Finally, we provide the notion of probabilistic guarantees to account for nondeterminisms. This complementary approach to the normal deterministic analysis of real-time systems, is an effort towards integrating scheduling theory and probabilistic fault models. The results presented in this thesis provide a foundation for employing fixed priority scheduling theory in the analysis of fault tolerant real-time systems. We expect these results will aid the system designers in the development of predictable and fault tolerant real-time systems.
Analysing repeated measures data in cognitive research: A comment on regression coefficient analyses

Cognitive psychologists often make use of regression coefficient analyses to analyse repeated measures data, as proposed by Lorch and Myers (1990). In this paper, it is demonstrated that in case this procedure is applicable and the data are balanced, using hierarchical linear models gives the same results after one single analysis. In addition, the hierarchical linear model approach is more flexible and has a broader applicability, for example including nonbalanced designs. Despite the relative complexity of the approach, we therefore recommend cognitive researchers considering the use of these models to analyse repeated measures data.