Miracle-dz/UniFAR-FTUs huggingface dataset:
Shaken Baby Syndrome Prevention: Implementation of an Individualized, Patient-Centered Education Program

Background: Child maltreatment is a serious health concern in the United States (U.S.) affecting as many as one in four children throughout their lifetime (Finkelhor, Turner, Ormond, & Hamby, 2013). In 2013, a reported 678, 932 victims of child maltreatment were reported to Child Protective Services (CPS), and of those cases 1,520 were fatal (CDC, 2015a). Out of all the various types of child maltreatment, Shaken Baby Syndrome (SBS) is the leading cause of child abuse deaths in the U.S. despite numerous initiatives to decrease the morbidity and mortality of SBS (CDC, n.d.). While current research has focused on validating the effectiveness of educational interventions, very few studies have analyzed the efficacy of developing individualized, patient-centered action plans. Such data would be beneficial to assess the usefulness of action plans in preparing caregivers for coping with an inconsolable infant at home. Purpose: To enhance caregiver knowledge about SBS and to provide parents with the skills and resources necessary to cope effectively and efficiently at home when unable to console their infant. Methods: This study utilized a quasi-experimental pre-test/post-test design. Participants were recruited from the Franciscan Women’s Health Associates located at St. Joseph Medical Center in Tacoma, Washington and were members of the Centering prenatal groups. The entirety of the study was completed during these Centering groups including the pre-test, intervention, action plan, and post-test. Data was analyzed through the utilization of descriptive statistics as well as a paired t test to assess statistical significance of the results. Results: Overall, results revealed that participant (n=26) knowledge significantly improved after the educational intervention (p=0.000) with a mean score of 87.56% on the pre-test and a mean
Analysis of the Novel LiFePO4 (LFP) Electrical Traction Batteries: Functional and Constructive Characteristics

Abstract—Lithium iron phosphate batteries (LiFePO4) represent a new type of lithium ion batteries in the electrical traction systems’ market. It’s, therefore, essential to study the degradation mechanisms, since they affect a battery’s performance in the long term, and consequently evaluate its internal parameters. The frequency response of a LiFePO4 battery cell, acquired from an impedance electrochemical spectroscopy (EIS), was used to analyze its aging processes and an electrical lumped parameter circuit developed to model the Nyquist curve in its range of frequencies. It represents the internal impedance of the cell, being each element from the circuit related to a particular physical phenomenon. Furthermore, a lumped parameter thermal model for a LiFePO4 battery cell was also established whose simulation results were validated through comparison with a scientific paper and experimental analysis. The final chapter is related with the estimation algorithms with automatic adjustment of the internal parameters.
Cylindrical Conformal Array Project

Indoor positioning systems have aroused widespread interest in the scientific community in recent years. These systems are used for locating objects, people and even for guidance in larger spaces. In this work, a literature review of existing indoor location systems and the different technologies and location techniques is carried out. This paper presents the design and test of an array conformal to a cylindrical surface to operate in the 5.8 GHz ISM band for possible indoor applications. The antenna array consists of six coplanar-fed radiating elements, each one covering a 60◦ sector. A flexible substrate, Kapton R ©, has been chosen. The S parameters, as well as the radiation patterns and efficiencies, have been obtained through simulations for two configurations: with only one feeding element and with two consecutive elements fed. Finally, experimental tests were performed in the lab, with special interest on the reflection coefficient and radiation patterns in several planes. The measurement results were compared to the simulated ones, to demonstrate the design performance.
ArabidopsisChitinases: a Genomic Survey

Plant chitinases (EC 3.2.1.14) belong to relatively large gene families subdivided in classes that suggest class-specific functions. They are commonly induced upon the attack of pathogens and by various sources of stress, which led to associating them with plant defense in general. However, it is becoming apparent that most of them display several functions during the plant life cycle, including taking part in developmental processes such as pollination and embryo development. The number of chitinases combined with their multiple functions has been an obstacle to a better understanding of their role in plants. It is therefore important to identify and inventory all chitinase genes of a plant species to be able to dissect their function and understand the relations between the different classes. Complete sequencing of the Arabidopsis genome has made this task feasible and we present here a survey of all putative chitinase-encoding genes accompanied by a detailed analysis of their sequence. Based on their characteristics and on studies on other plant chitinases, we propose an overview of their possible functions as well as modified annotations for some of them.
Optimisation of Ground Stations Location in Aeronautical Multilateration Systems

The main goal of this thesis is to analyse the performance of the current multilateration systems installed in Portugal, by NAV Portugal, and to establish a set of recommendations for the future multilateration systems implementations. These goals were accomplished by the development and implementation of a set of models and algorithms: difference between WAM and ADS-B routes, analysis and dimensioning algorithm and selection algorithm. In order to achieve the intended analysis several simulations on different scenarios were performed, which were the Lisbon, Azores and Porto airports. From the analysis of the simulation results, it is possible to conclude that the WAM systems installed in the Lisbon and Azores regions perform according to the parameters set by the system ́s manufactures, that is, for example when analysing the difference between WAM and ADS-B routes, for the Lisbon scenario under a 30 NM radius, the error is under 100 m and for the Azores scenario under a 100 NM radius the error is under 300 m. And finally, that the airplane ́s position error decreases as the airplane navigates towards the ground
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning

The consideration of predictive uncertainty in medical imaging with deep learning is of utmost importance. We apply estimation of predictive uncertainty by variational Bayesian inference with Monte Carlo dropout to regression tasks and show why predictive uncertainty is systematically underestimated. We suggest using σ scaling with a single scalar value; a simple, yet eﬀective calibration method for both aleatoric and epistemic uncertainty. The performance of our approach is evaluated on a variety of common medical regression data sets using diﬀerent state-of-the-art convolutional network architectures. In all experiments, σ scaling is able to reliably recalibrate predictive uncertainty. It is easy to implement and maintains the accuracy. Well-calibrated uncertainty in regression allows robust rejection of unreliable predictions or detection of out-of-distribution samples. Our source code is available at: github.com/mlaves/well-calibrated-regression-uncertainty
Relationship among Emotional Intelligence, Self-efficacy, and Achievement Score of Students at Elementary Level

The Current study is an intention to explore the relationship among emotional intelligence, self-efficacy, and achievement scores of students at elementary level. Four hundred students of 5 th class from twelve schools in district Faisalabad participated in the study. Selfdeveloped instruments, Emotional Intelligence Survey (EIS) and SelfEfficacy Survey (SES) with reliability value of . 83 and . 79 respectively were used. The achievement score of the students were taken in the annual exam of 5 th class. Data were analyzed using mean and Pearson product-moment correlation coefficient. The results revealed that there exists a strong positive and significant correlation between emotional intelligence and self-efficacy. The factors of these variables were also had strong positive and significant correlation with each other. Females have better achievement score as compared with males. The students belonging to high socio economic status achieved better performance. Urban areas and public sector schools have shown higher achievement score. However, Achievement score did not had any significant relationship with emotional intelligence and selfefficacy.
Dynamic Franchising Decisions (cid:3)

To study short-run and long-run trade-o⁄s faced in decisions about a retailer(cid:146)s franchising mix, we develop an estimable dynamic oligopoly model for retailing. In our model, forward-looking (cid:133)rms strategically choose expansion plans, while taking into account the relative bene(cid:133)ts of franchised versus corporate outlets. We estimate this model using data about convenience-store expansion in Japan. Our main (cid:133)ndings are as follows. First, we demonstrate noticeable di⁄erences in expansion strategies across ownership types. Second, we con(cid:133)rm that franchisee-run outlets generate higher revenues, all else held equal, than their corporate-run counterparts. Third, our cost function estimates reveal that it is more costly to open, operate, and close franchisee-run outlets compared with corporate-run outlets. Finally, our counterfactual simulations demonstrate a link between preemptive motives and corporate-based expansion.
The High Seas (C's) of Piracy in Information Systems: Cost, The High Seas (C's) of Piracy in Information Systems: Cost, convenience and choice convenience and choice

Systems and technologies used for unauthorised file sharing have received little attention in the Information Systems literature. This paper attempts to fill this gap by presenting a critical, qualitative study on the motivations for using unauthorised file sharing systems. Based on 30 interviews with music consumers, musicians, and the music industry, this paper reports on the decision of music consumers to ‘pirate or purchase’. This paper highlights file sharing from multiple perspectives of users, musicians, and representatives from the music recording industry. Three main themes emerged on the cost, convenience and choice as motivators for unauthorised file sharing.
Testing the Conditional Mean Independence for Functional Data

We propose a new nonparametric conditional mean independence test for a response variable Y and a predictor variable X where either or both can be function-valued. Our test is built on a new metric, the so-called functional martingale difference divergence (FMDD), which fully characterizes the conditional mean dependence of Y given X and extends the MDD proposed in Shao and Zhang (2014). We define an unbiased estimator of FMDD by using a U-centering 20 approach, and obtain its limiting null distribution under mild assumptions. Since the limiting null distribution is not pivotal, we adopt the wild bootstrap method to estimate the critical value and show the consistency of the bootstrap test. Our test can detect the local alternative which approaches the null at the rate of n−1/2 with a nontrivial power, where n is the sample size. Unlike the recent three tests developed by Kokoszka et al (2008), Lei (2014), and Patilea et al. 25 (2016), our test does not require a finite dimensional projection nor assume a linear model, and it does not involve any tuning parameters. Promising finite sample performance is demonstrated via simulations and a real data illustration in comparison with the existing tests.
Tax Avoidance and Multinational Firm Behavior

In this chapter we review, and at times extend, the literature on multinational corporate income tax avoidance and its consequences. It is first important to note that multinational corporations pay a substantial amount of taxes, both direct and indirect. Yet, it is also the case that there is evidence 1) of tax avoidance, including cross-jurisdictional income shifting, 2) that tax avoidance is increasing over time, and 3) that the location of ‘real’ items such as investment, debt, and employment are sensitive to taxation. In addition, in certain cases the altering of structures to avoid taxation necessitates more changes to ‘real’ activity. We observe that while there is evidence of income shifting, the literature is not settled on the extent to which this occurs. We briefly touch on the financial accounting and reputational incentives and disincentives for tax avoidance. We end with a short discussion of the early research following recent tax regime changes. This paper will be a chapter in the International Tax Policy Forum/Brookings Institution forthcoming book entitled “Multinational Corporations in a Changing Global Economy. ” We thank the editors, Fritz Foley, Jim Hines, and David Wessel for comments on an earlier draft. We also thank Rebecca Lester, Kevin Markle, Terry Shevlin, and Nemit Shroff for comments.
Uncertainty and Economic Activity: Identification Through Cross-country Correlations

This paper proposes a multi-country approach for the analysis of the interaction between uncertainty and economic activity both within and across economies. It considers two global factors, labeled “real” and “financial”, and identified assuming different patterns of cross-country correlations of country-specific innovations to output growth and stock market volatility. It is assumed that only the real factor is required to model cross-country correlations of growth innovations, but both factors (real and financial) are needed to model cross-country correlations of volatility innovations. The paper shows that these assumptions are in accordance with stylized facts of the underlying data and the estimated innovations. The identified factors are then used within a highdimensional factor-augmented VAR to quantify the impact and the relative importance of common and country-specific shocks. It is found that most of the unconditional correlation between volatility and growth can be accounted for by the two common factors. While unconditionally volatility behaves countercyclically for all but one of the 32 countries in our sample, once we condition on the factors the growth-volatility correlation becomes essentially negligible in all countries with the exception of five emerging market economies. The paper also shows that the share of volatility variance explained by the real factor and by country-specific growth shocks is relatively small. Similarly, shocks to the financial factor explain only a small fraction of the country-specific growth variance. Finally, country-specific shocks are important for domestic volatility and growth, but have limited spillover effects to other countries.
Comparison of Geometrically Derived Quality Criteria regarding Optimal Workpiece Orientation for Computed Tomography Measurements

In the field of industrial Computed Tomography (CT), the orientation of the workpiece influences the local quality of the reconstructed volume data and therefore dimensional measurements. In the literature, different a priori criteria for an optimal orientation are proposed, which are purely based on the part and setup geometry. However, it is not evident to which extent they correlate with the measurement accuracy or how different quality parameters should be weighted, especially if a wider range of materials and therefore different artefact contributions should be covered. In this work, existing methods and criteria are compared and extended. In contrast to most existing investigations, different quality parameters are evaluated not only globally, but also restricted to relevant regions of interest (ROI). A straightforward derivation for an analytical determination of surface areas affected by cone-beam artefacts is presented. Results show that an ROI-based evaluation is important to find an optimal orientation for single measurands. The investigated quality parameter based on the prediction of surface areas which are affected by cone-beam artefacts was found to be applicable as exclusion criterion. This only holds true if the evaluation is restricted to relevant ROI surface areas, which should also be considered when evaluating the maximum X-ray penetration length as quality parameter. The correlation of the latter with resulting measurement deviations was found to depend on the measurement task.
Using micro- and nanofibrillated cellulose as a means to reduce weight of paper products: A review

Based on publications related to the use of micro- and nanofibrillated cellulose (MNFC) in papermaking applications, three sets of parameters (intrinsic and extrinsic variables, furnish composition, and degree of dispersion) were proposed. This holistic approach intends to facilitate understanding and manipulation of the main factors describing the colloidal behavior in systems comprising of MNFC, pulp fibers, and additives, which directly impact paper product performance. A preliminary techno-economic assessment showed that cost reductions driven by the addition of MNFC in paper furnishes could be as high as USD 149 per ton of fiber (up to 20% fiber reduction without adverse effects on paper’s strength) depending on the cost of papermaking fibers. It was also determined that better performance in terms of strength development associated with a higher degree of MNFC fibrillation offset its high manufacturing cost. However, there is a limit from which additional fibrillation does not seem to contribute to further strength gains that can justify the increasing production cost. Further research is needed regarding raw materials, degree of fibrillation, and combination with polyelectrolytes to further explore the potential of MNFC for the reduction of weight of paper products.
PREVALENCE OF SHIN SPLINT IN RECREATIONAL MARATHON RUNNER

Background: It is essential to find out the presence of shin splint in recreational marathon runners to prevent the injury from causing more damage. This study was conducted to identify shin splint in recreational marathon runners in Krishna Hospital, Karad. This study was designed to provide meaningful insight into the cause of shin splint in recreational marathon runners. Objectives of the study were to find out the impact of shin splint in recreational marathon runners and to assess the severity of shin splint in recreational marathon runners of age group 20-30 years both males and females in Krishna Hospital, Karad. Material and Methods: 190 recreational marathon runners who fit in the criteria were given Runner’s Questionnaire and were asked to fill it. Result: There was marked significance pain was present during(p=0.04) and running throughout(p<0.0001) in recreational marathon runners. Conclusion: It was concluded from the present study that there is a prevalence of shin splint in marathon runners. Shin splint was found more in females (55.3%)than in males (44.7%). Based on the duration of pain and shoe surface was found to be more prevalent to cause shin splint in marathon runners.
“Journeys towards a green lifestyle”: Metaphors in green living blogs

Green living blogs authored by ordinary individuals play an important role in “translating” the complex issue of sustainability into everyday actions. Although bloggers often use metaphors to achieve this and metaphors are recognized as key tools for conceptualizing complex and abstract issues through simpler and more concrete ones, the use of metaphors on green living blogs has been under-studied. This paper analysed 222 posts from ten leading green living blogs and found that they mostly used Journey metaphors to discuss different aspects of green living. Bloggers regularly presented green living as a “journey” and themselves as “travelers” who are “still on the road” and they emphasized the positive aspects of “journeying” and of not having reached their “destination” yet. It is argued that by highlighting these positive aspects of journeys, bloggers inspire and empower readers to adopt green lifestyles. « Voyages vers un mode de vie ecologique »: des metaphores dans les blogs sur le mode de vie vert Les blogs sur le mode de vie ecologique animes par des personnes ordinaires jouent un role important dans la traduction de la question complexe de la durabilite en actions quotidiennes. Bien que les blogueurs utilisent souvent des metaphores pour y parvenir, bien que les metaphores soient reconnues comme des outils permettant de conceptualiser des problemes complexes et abstraits en problemes plus simples et plus concrets, leur utilisation dans des blogs ecologiques n’a pas ete suffisamment etudiee. Le present article analyse 222 publications tirees de dix blogs sur le mode de vie ecologique. Il en ressort que ces publications ont regulierement recours a la metaphore du voyage lorsqu’elles traitent de differents aspects du mode de vie ecologique. Les blogueurs le presentent regulierement comme un « voyage », eux-memes etant des « voyageurs » « encore en route ». Ils mettent insistent sur le cote positif du fait d’etre « embarque dans un voyage » et de n’avoir pas encore atteint leur « destination ». En soulignant ces aspects positifs du voyage, les blogueurs inspirent et incitent leurs lecteurs a adopter des modes de vie ecologiques.
Laparoscopic Myomectomy

Abstract Pelvic masses are commonly diagnosed following clinical examination. These may be located in the genital organs or may interest other pelvic and abdominal organs. The pathology of the pelvic masses varies with age. The postmenopausal period is most commonly associated with malignant pathology while reproductive age is associated with benign pathology. The purpose of this paper is to present the experience of the Obstetrics and Gynaecology Clinic of the Sibiu County Clinical Emergency Hospital in laparoscopic myomectomy. We evaluated the patients admitted to the Obstetrics and Gynaecology Clinic of the Emergency County Clinical Hospital in Sibiu who underwent a laparoscopic myomectomy between 1.01. 2015 - 06.06. 2019. During this time, 14 laparoscopic myomectomies were performed in our clinic. Patients ranged in age from 29 to 57 years.
Benchmarking Uncertainty Estimation Methods for Deep Learning With Safety-Related Metrics

Deep neural networks generally perform very well on giving accurate predictions, but they often lack in recognizing when these predictions may be wrong. This absence of awareness regarding the reliability of given outputs is a big obstacle in deploying such models in safety-critical applications. There are certain approaches that try to address this problem by designing the models to give more reliable values for their uncertainty. However, even though the performance of these models are compared to each other in various ways, there is no thorough evaluation comparing them in a safety-critical context using metrics that are designed to describe trade-offs between performance and safe system behavior. In this paper we attempt to ﬁll this gap by evaluating and comparing several state-of-the-art methods for estimating uncertainty for image classifcation with respect to safety-related requirements and metrics that are suitable to describe the models performance in safety-critical domains. We show the relationship of remaining error for predictions with high conﬁdence and its impact on the performance for three common datasets. In particular, Deep Ensembles and Learned Conﬁdence show high potential to signiﬁcantly reduce the remaining error with only moderate performance penalties.