Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between perceived partner support and lifestyle in mother-father dyads expecting a first child

Background A healthy lifestyle during pregnancy is important for the health of mother and child. However, unfavorable physical activity (PA) and dietary changes are observed in pregnant women and their partner. Partner's influence on lifestyle has been reported by expectant women and men. The first aim was to analyze associations between perceived partner support on expectant parents own as well as their partner's moderate-to-vigorous intensity PA (MVPA) levels and dietary intake. Secondly, this study aimed to investigate intra-couple associations of MVPA, dietary intake and perceived support. Methods A total of 152 heterosexual couples were recruited between week 8 and 10 of gestation by means of convenience sampling. Objective anthropometric and 7-day MVPA measurements were performed at 12 weeks of gestation. An online questionnaire was used to assess dietary intake, perceived partner support and socio-demographic characteristics. An Actor-Partner Interdependence Model for distinguishable dyads was constructed to examine the relationship between perceived partner support and both own's (i.e., actor-effect) and the partner's (i.e., partner-effect) MVPA levels, intake of fruits and vegetables, and an “avoidance food group. ” Results For pregnant women, perceived support from their partner was significantly associated with women's own MVPA levels (i.e., actor-effect; estimate = 0.344, SE = 0.168, p = 0.040) as well as the MVPA levels of the men (i.e., partner-effect; estimate = 0.717, SE = 0.255, p = 0.005). No significant actor- nor partner-effects were found for the expectant fathers. For none of the sexes significant actor-effects were found for fruit/vegetables and “avoidance food group” intake. For pregnant women, there was a positive partner-effect for fruit and vegetable intake (estimate = 7.822, SE = 1.842, p < 0.001) and a negative partner-effect for the “avoidance food group” intake (estimate = −16.115, SE = 3.629, p < 0.001). Positive correlations were found for perceived MVPA support (r = 0.40, p < 0.001), MVPA levels (r = 0.24, p = 0.007) and food intake from the “avoidance food group” (r = 0.28, p = 0.005) between partners. Conclusion This study shows that male partners can act as significant facilitators for women. Partners may be an important target when promoting MVPA during pregnancy. Additionally, supportive couples seem to strengthen each other in keeping a healthy lifestyle in early pregnancy. These results justify couple-based interventions in the promotion of a healthy lifestyle during the transition to parenthood. Clinical trial registration Clinicaltrials.gov, identifier: NCT03454958.
Digital competency of Psychologists in Aotearoa New Zealand: A cross-sectional survey

Background The increasing implementation of digital health into psychological practice is transforming mental health services. Limited clinical resources and the high demand for psychological services, alongside the restrictions imposed on services during the global COVID-19 pandemic, have been a catalyst for significant changes in the way psychologists work. Ensuring Psychologists have the skills and competence to use these tools in practice is essential to safe and ethical practice. Aim This study aimed to explore the digital competence of psychologists working in Aotearoa New Zealand and their use of digital tools in the practice. Methods A cross-sectional online survey was conducted with Aotearoa New Zealand Registered Psychologists (n = 195) between July and November 2021. Results Participants reported varying degrees of competence across the digital tasks presented, with participants most commonly reporting moderate to high competence for engaging in remote supervision via digital means (86%) and obtaining client's informed consent for digital work (82%). In contrast, tasks that participants most reported not being moderately or highly competent in included working with interpreters remotely and evaluating the effectiveness and security of smartphone apps. Motivations to use digital technologies included meeting client preferences and needs, necessity for continuity of care, and the benefits of increased accessibility and reach. In contrast, the barriers to using digital technologies included client characteristics or preference, clinical factors, clinician preferences and skills, and workplace or technical issues or concerns. The majority (91.1%) were potentially interested in further training in this area. Conclusions The current study offers insights into the digital competencies of a workforce that has required rapid incorporation of technologies into professional practice over recent years. This snapshot of the digital skills of psychologists demonstrates a large variation in digital competence. In the current context, developing digital competencies seems a fundamental requirement for psychologists to work in ways that appropriately and safely deliver client-centred care.
Examining the Structural Validity of Health Motivation Scale in Physical Activity

The purpose of the present study was to examine the structural validity of health motivation scale in physical activity. Confirmatory Factor Analysis indicated that the structure of the Health Motivation Scale in Physical Activity was consistent with the process model of health motivation. The findings, while limited to a college sample in the US, suggested that the process model of health motivation may be applied to physical activity. However, further studies, particularly longitudinal studies, are required to further test the efficacy of the process model of health motivation.
Surface Realization Using a Featurized Syntactic Statistical Language Model

SURFACE REALIZATION USING A FEATURIZED SYNTACTIC STATISTICAL LANGUAGE MODEL Thomas L. Packer Department of Computer Science Master of Science An important challenge in natural language surface realization is the generation of grammatical sentences from incomplete sentence plans. Realization can be broken into a two-stage process consisting of an over-generating rule-based module followed by a ranker that outputs the most probable candidate sentence based on a statistical language model. Thus far, an n-gram language model has been evaluated in this context. More sophisticated syntactic knowledge is expected to improve such a ranker. In this thesis, a new language model based on featurized functional dependency syntax was developed and evaluated. Generation accuracies and cross-entropy for the new language model did not beat the comparison bigram language model.
Enterprise Cloud Adoption - Cloud Maturity Assessment Model

The introduction and use of cloud computing by an organization has the promise of significant benefits that include reduced costs, improved services, and a pay-per-use model. Organizations that successfully harness these benefits will potentially have a distinct competitive edge, due to their increased agility and flexibility to rapidly respond to an ever changing and complex business environment. However, as cloud technology is a relatively new phenomenon, there is still a lot to learn about the adoption and use of cloud, including issues such as security, data protection, interoperability, service maturity, and return on investment. These issues need to be considered,and if possible remediated,toenablean organization to effectivelymanage itscloud adoption journey. This paper describesan assessmentmodelthat was developed by the Innovation Value Institute (IVI) using a multi method, two-phasedapproach. The first phase involveda review of the currentacademic and practitioner literature in the area of cloud.Based on the key insights identified, together with inputs from a workgroup of industry experts anonline cloud adoption assessmentinstrumentwas developed. This assessmentinstrument aimedto provide organizations with a management structure to understand and assess their Enterprise IT capability maturity to evaluate, introduce,and manage cloud services. The second phase employed the principles of design science and open innovation to pilot, test, validate, and refine the cloud adoption assessment in collaboration with industry-based practitioners.As companies continue to grapple with the issues posed by cloud, the cloud adoption assessment willallow an organization to clearly determine their ability to manage:•Cloud security•Compliance•Dataprotection•Cloud service provider(s)•Costs•Impact on business and IT•The interoperability and integration between existing in-houseand cloud-basedservicesBy using the assessmentmodel, the level of maturity will identify areas of strengthand weakness within the organization and serve asthe basis for an improvement roadmap,to ensure the successful adoption andon-going management of cloud.
Ray traced rendering using GPGPU devices

Ray tracing is a very popular way to draw 3-D scenes onto a 2-D image. The technique produces a very high degree of visual realism with regard to shadows, reflection, and refraction. The drawback of this technique is the fact that it is extremely computationally expensive. This expense has been a barrier to using ray tracing to implement real-time rendering. Recent technological advances have fueled increased interest in the technique because the prospect of real-time ray tracing in commercial applications is now closer to becoming a reality. This thesis is an attempt to quantify the degree of speed-up, in terms of raw processing power, that this new class of GPU hardware makes possible.
Reducing flow induced building vibration by streamlining

In this study, experiments are conducted to explore the possibility of flow streamlining to reduce flow induced vibrations of building and structures by placing a smaller circular cylinder downstream of a larger one. A water table flow visualization facility is used in this study. The diameter ratio varies from 1.25 to 6.25 and the Reynolds number based on the diameter of the larger cylinder is either 356 or 890. The results show that flow streamlining of the larger cylinder can be achieved and vortex shedding from the upstream cylinder can be shifted to the downstream cylinder. Furthermore, the Strouhal number of the upstream cylinder can be reduced. The extent of shedding frequency reduction depends on the diameter ratio. In addition, the asymmetric vortex shedding pattern of an isolated cylinder can be altered to a symmetric shedding pattern. Thus, flow-induced vibration can be further reduced.
Understanding Educational Statistics Using Microsoft Excel and SPSS

Preface xix Acknowledgments xxi 1 Introduction 1 2 Getting Acquainted with Microsoft Excel1 7 3 Using Statistics in Excel1 17 4 SPSS1 Basics 23 5 Descriptive Statistics Central Tendency 41 6 Descriptive Statistics Variablity 81 7 The Normal Distribution 101 8 The Z Distribution and Probability 127 9 The Nature of Research Design and Inferential Statistics 147 10 The T Test for Single Samples 175 11 Independent-Samples T Test 209 12 Analysis of Variance 257 13 Factorial Anova 307 14 Correlation 337 15 Bivariate Regression 383 16 Introduction to Multiple Linear Regression 429 17 Chi Square and Contingency Table Analysis 453 18 Repeated Measures Procedures: Tdep and ANOVAws 489 References 511 Appendix: Statistical Tables 513 Index 523
Identification of Outliers in Medical Diagnostic System Using Data Mining Techniques

The outlier detection problem has important applications in the field of medical research. Clinical databases have accumulated large quantities of information about patients and their medical conditions. In this study, the data mining techniques are used to search for relationships in a large clinical database. Relationships and patterns within this data could provide new medical knowledge. The main objective of this paper is to detect the outliers and identify the influence factor in the diabetes symptoms of the patient using data mining techniques. Results are illustrated numerically and graphically. Outlier detection is a very important concept in the medical data analysis. The complex relationships that appear with regard to diabetic symptoms of the patient, diagnoses and behavior are the most promising areas of data mining. A data base may contain data objects that do not comply with the general behavior of the data. These data objects are outlier and the analysis of outlier data is referred to as outlier mining. Data mining is about finding new information from a large group of data. The problem of outlier detection for data mining is a rich area of research because the sequences are various types and outliers in sequences can be defined in multiple ways and hence there are different problem formulations. Most data mining methods discard outliers as noise or exceptions. The handling of outlier observations in a data set is one of the most important tasks in data pre-processing because of two reasons. First, outlier observations can have a considerable influence on the results of an analysis. Second, outliers are often measurement or recording errors, some of them can represent phenomena of interest, something significant from the viewpoint of the application domain. Some classical examples for inward procedures have given Hawkins (12) and Barnett and Lewis (2). Factor Analysis is useful for understanding the underlying reasons for the correlations among a group of variables. The main application of factor analytic technique is to reduce the number of variables and to detect structure in the relationships among variables that classify variables.
Isolated sign language recognition using hidden Markov models

This paper is concerned with the video-based recognition of isolated signs. Concentrating on the manual parameters of sign language, the system aims for the signer dependent recognition of 262 different signs. For hidden Markov modelling a sign is considered a doubly stochastic process, represented by an unobservable state sequence. The observations emitted by the states are regarded as feature vectors, that are extracted from video frames. The system achieves recognition rates up to 94%.
Introduction to Computation and Modeling for Differential Equations

An introduction to scientific computing for differential equations Introduction to Computation and Modeling for Differential Equations provides a unified and integrated view of numerical analysis, mathematical modeling in applications, and programming to solve differential equations, which is essential in problem-solving across many disciplines, such as engineering, physics, and economics. This book successfully introduces readers to the subject through a unique "Five-M" approach: Modeling, Mathematics, Methods, MATLAB, and Multiphysics. This approach facilitates a thorough understanding of how models are created and preprocessed mathematically with scaling, classification, and approximation, and it also illustrates how a problem is solved numerically using the appropriate mathematical methods. The book's approach of solving a problem with mathematical, numerical, and programming tools is unique and covers a wide array of topics, from mathematical modeling to implementing a working computer program. The author utilizes the principles and applications of scientific computing to solve problems involving: Ordinary differential equations Numerical methods for Initial Value Problems (IVPs) Numerical methods for Boundary Value Problems (BVPs) Partial Differential Equations (PDEs) Numerical methods for parabolic, elliptic, and hyperbolic PDEs Mathematical modeling with differential equations Numerical solution Finite difference and finite element methods Real-world examples from scientific and engineering applications including mechanics, fluid dynamics, solid mechanics, chemical engineering, electromagnetic field theory, and control theory are solved through the use of MATLAB and the interactive scientific computing program Comsol Multiphysics. Numerous illustrations aid in the visualization of the solutions, and a related Web site features demonstrations, solutions to problems, MATLAB programs, and additional data. Introduction to Computation and Modeling for Differential Equations is an ideal text for courses in differential equations, ordinary differential equations, partial differential equations, and numerical methods at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners in the fields of mathematics, engineering, and computer science who would like to refresh and revive their knowledge of the mathematical and numerical aspects as well as the applications of scientific computation.
Expressing Pipeline Parallelism using TBB constructs

Task-based libraries such as Intel’s Threading Building Blocks (TBB) provide higher levels of abstraction than threads for parallel programming. Work remains, however, to determine how straightforward it is to use these libraries to express various patterns of parallelism. This case study focuses on a particular pattern: pipeline parallelism. We attempted to transform three representative applications – content-based image retrieval, compression and video encoding – to pipelines using TBB. We successfully converted two of the three applications. In the successful cases we discuss our transformation process and contrast the expressivity and performance of our implementations to existing Pthreads versions; in the unsuccessful case, we detail what the challenges were and propose potential solutions.
WebGL Programming Guide: Interactive 3D Graphics Programming with WebGL

Using WebGLВ®, you can create sophisticated interactive 3D graphics inside web browsers, without plug-ins. WebGL makes it possible to build a new generation of 3D web games, user interfaces, and information visualization solutions that will run on any standard web browser, and on PCs, smartphones, tablets, game consoles, or other devices. WebGL Programming Guide will help you get started quickly with interactive WebGL 3D programming, even if you have no prior knowledge of HTML5, JavaScript, 3D graphics, mathematics, or OpenGL. В YouвЂTMll learn stepby-step, through realistic examples, building your skills as you move from simple to complex solutions for building visually appealing web pages and 3D applications with WebGL. Media, 3D graphics, and WebGL pioneers Dr. Kouichi Matsuda and Dr. Rodger Lea offer easy-to-understand tutorials on key aspects of WebGL, plus 100 downloadable sample programs, each demonstrating a specific WebGL topic. В YouвЂTMll move from basic techniques such as rendering, animating, and texturing triangles, all the way to advanced techniques such as fogging, shadowing, shader switching, and displaying 3D models generated by Blender or other authoring tools. This book wonвЂTMt just teach you WebGL best practices, it will give you a library of code to jumpstart your own projects. В Coverage includes: вЂў WebGLвЂTMs origin, core concepts, features, advantages, and integration with other web standardsвЂў How and basic WebGL functions work together to deliver 3D graphicsвЂў Shader development with OpenGL ES Shading Language (GLSL ES)вЂў 3D scene drawing: representing user views, controlling space volume, clipping, object creation, and perspectiveвЂў Achieving greater realism through lighting and hierarchical objectsвЂў Advanced techniques: object manipulation, heads-up displays, alpha blending, shader switching, and moreвЂў Valuable reference appendixes covering key issues ranging from coordinate systems to matrices and shader loading to web browser settings В This is the newest text in the OpenGL Technical Library, Addison-WesleyвЂTMs definitive collection of programming guides an reference manuals for OpenGL and its related technologies. The Library enables programmers to gain a practical understanding of OpenGL and the other Khronos applicationprogramming libraries including OpenGL ES and OpenCL. All of the technologies in the OpenGL Technical Library evolve under the auspices of the Khronos Group, the industry consortium guiding the evolution of modern, open-standards media APIs.
A bloom-filter strategy for response time reduction in distributed query processing.

In distributed database systems, query optimization is to find strategies attempt to minimize the amount of data transmitted over the network. Optimization algorithms have an important impact on the performance of distributed query processing. Since optimal query processing in distributed database systems has been shown to be NP-Hard [WC96], heuristics are applied to find a cost-effective and efficient (but suboptimal) processing strategy. Many query optimization strategies have been proposed to minimize either the total cost or the response time. The approaches in distributed query processing have mainly focused on the use of joins, semijoins, and filters. In this thesis, we propose a new reduction strategy based on bloom-filters to significantly reduce the response time of a distributed query. This algorithm can process general queries consisting of an arbitrary number of relations and join attributes. The performance of the algorithm with respect to response time is compared against the Initial Feasible Solution (IFS). An amount of experimental results has been used to evaluate the performance of our algorithm. Compared to the IFS, our algorithm provides a significantly improved query solution.
GA and SVM Algorithms for Selection of Hybrid Feature in Intrusion Detection Systems

Higher dimensionality of data that has to be analyzed for detecting attack is one of the key issues concerning intrusion detection system (IDS). This is due to the different features in the attack on network that eats up time in terms of training and prediction setups. In this study a hybrid method of Support Vector Machine (SVM) as well as Genetic Algorithm (GA) is suggested and their implementation in IDS is outlined. The suggested methods are used for reducing the number of features from 41 to 11 using KDD Cup’99 dataset. The features are classified as three priorities using GA with the most significant as the first priority and the least one as the third priority. The way in which feature distribution is done is that four features are placed in the first priority, five in the second and two in the third. The results show that the suggested hybrid algorithms, GA and SVM are able to achieve true and false positive values of 0.973 and 0.017 respectively.
Tight bound on the gathering of two oblivious mobile robots with inconsistent compasses

We consider a system ofautonomous mobile robots that can move in the two dimensional space. These robots must gather, infinite time, at a single point in the plane, not predetermined (gathering problem). We consider that the robots are equipped with compasses, although these compasses can be inconsistent. In our previous work, we proposed an algorithm that gathers two oblivious mobile robots in finite time when the compasses diverge by at most 45°. In this paper, we extend this work byproving a tight bound on the degree ofdivergence of robots' compasses for solving the gathering problem. More specifically, we present a self-stabilizing algorithm to gather, in a finite time, two oblivious robots equipped with compasses that can differ by an angle strictly smaller than 180°, and we show that it is a tight bound.