10 research outputs found

    Mothers\u27 Adaptation to Caring for a New Baby

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    To date, most research on parents\u27 adjustment after adding a new baby to their family unit has focused on mothers\u27 initial transition to parenthood. This past research has examined changes in mothers\u27 marital satisfaction and perceived well-being across the transition, and has compared their prenatal expectations to their postnatal experiences. This project assessed first-time and experienced mothers\u27 stress and satisfaction associated with parenting, their adjustment to competing demands, and their perceived well-being longitudinally before and after the birth of a baby. Additionally, how maternal and child-related variables influenced the trajectory of mothers\u27 postnatal adaptation was assessed. These variables included mothers\u27 age, their education level, their prenatal expectations and postnatal experiences concerning shared infant care, their satisfaction with the division of infant caregiving, and their perceptions of their infant\u27s temperament. Mothers (N = 136) completed an online survey during their third trimester and additional online surveys when their baby was approximately 2, 4, 6, and 8 weeks old.;First-time mothers prenatally expected a more equal division of infant caregiving between themselves and their partners than did experienced mothers. Both first-time and experienced mothers reported less assistance from their partners than they had prenatally expected. Additionally, they experienced almost twice as many violated expectations than met expectations. Growth curve modeling revealed that a cubic function of time best fit the trajectory of mothers\u27 postnatal parenting satisfaction. Mothers reported less parenting satisfaction at 4 weeks, compared to 2 and 6 weeks, and reported stability in their satisfaction between 6 and 8 weeks. A quadratic function of time best fit the trajectories of mothers\u27 postnatal parenting stress and adjustment to the demands of their baby. Mothers reported more stress and difficulty adjusting to their baby\u27s demands at 4 and 6 weeks, compared to 2 and 8 weeks. A linear function of time best fit the trajectories of mothers\u27 adjustment to home demands, generalized state anxiety, and depressive symptoms. Mothers reported less difficulty meeting home demands, less generalized anxiety, and fewer depressive symptoms across the postnatal period. Mothers\u27 violated expectations were associated with level differences in all aspects of mothers\u27 postnatal adaptation except their adjustment to home demands. Specifically, more violated expectations, in number or in magnitude, were associated with poorer postnatal adaptation. Mothers\u27 violated expectations were not associated with the slope of mothers\u27 postnatal adaptation trajectories. Exploratory models revealed that other maternal and child-related variables also impacted the level and slope of mothers\u27 postnatal adaptation.;Overall, first-time and experienced mothers were more similar than different in regards to their postnatal adaptation. This study suggests that prior findings concerning adults\u27 initial transition to parenthood may also apply to adults during each addition of a new baby into the family unit. Additionally, mothers who reported less of a mismatch between their expectations and experiences concerning shared infant care had fewer issues adapting the postnatal period. Thus, methods to increase the assistance mothers receive from their partner should be sought. Limitations of this study and suggestions for future research are also discussed

    Enhancing Online Security with Image-based Captchas

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    Given the data loss, productivity, and financial risks posed by security breaches, there is a great need to protect online systems from automated attacks. Completely Automated Public Turing Tests to Tell Computers and Humans Apart, known as CAPTCHAs, are commonly used as one layer in providing online security. These tests are intended to be easily solvable by legitimate human users while being challenging for automated attackers to successfully complete. Traditionally, CAPTCHAs have asked users to perform tasks based on text recognition or categorization of discrete images to prove whether or not they are legitimate human users. Over time, the efficacy of these CAPTCHAs has been eroded by improved optical character recognition, image classification, and machine learning techniques that can accurately solve many CAPTCHAs at rates approaching those of humans. These CAPTCHAs can also be difficult to complete using the touch-based input methods found on widely used tablets and smartphones.;This research proposes the design of CAPTCHAs that address the shortcomings of existing implementations. These CAPTCHAs require users to perform different image-based tasks including face detection, face recognition, multimodal biometrics recognition, and object recognition to prove they are human. These are tasks that humans excel at but which remain difficult for computers to complete successfully. They can also be readily performed using click- or touch-based input methods, facilitating their use on both traditional computers and mobile devices.;Several strategies are utilized by the CAPTCHAs developed in this research to enable high human success rates while ensuring negligible automated attack success rates. One such technique, used by fgCAPTCHA, employs image quality metrics and face detection algorithms to calculate a fitness value representing the simulated performance of human users and automated attackers, respectively, at solving each generated CAPTCHA image. A genetic learning algorithm uses these fitness values to determine customized generation parameters for each CAPTCHA image. Other approaches, including gradient descent learning, artificial immune systems, and multi-stage performance-based filtering processes, are also proposed in this research to optimize the generated CAPTCHA images.;An extensive RESTful web service-based evaluation platform was developed to facilitate the testing and analysis of the CAPTCHAs developed in this research. Users recorded over 180,000 attempts at solving these CAPTCHAs using a variety of devices. The results show the designs created in this research offer high human success rates, up to 94.6\% in the case of aiCAPTCHA, while ensuring resilience against automated attacks

    Web observations: analysing Web data through automated data extraction

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    In this thesis, a generic architecture for Web observations is introduced. Beginning with fundamental data aspects and technologies for building Web observations, requirements and architectural designs are outlined. Because Web observations are basic tools to collect information from any Web resource, legal perspectives are discussed in order to give an understanding of recent regulations, e.g. General Data Protection Regulation (GDPR). The general idea of Web observatories, its concepts, and experiments are presented to identify the best solution for Web data collections and based thereon, visualisation from any kind of Web resource. With the help of several Web observation scenarios, data sets were collected, analysed and eventually published in a machine-readable or visual form for users to be interpreted. The main research goal was to create a Web observation based on an architecture that is able to collect information from any given Web resource to make sense of a broad amount of yet untapped information sources. To find this generally applicable architectural structure, several research projects with different designs have been conducted. Eventually, the container based building block architecture emerged from these initial designs as the most flexible architectural structure. Thanks to these considerations and architectural designs, a flexible and easily adaptable architecture was created that is able to collect data from all kinds of Web resources. Thanks to such broad Web data collections, users can get a more comprehensible understanding and insight of real-life problems, the efficiency and profitability of services as well as gaining valuable information on the changes of a Web resource

    ЕвропСйский ΠΈ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ контСксты Π² Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… исслСдованиях

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    Π’ настоящСм элСктронном сборникС «ЕвропСйский ΠΈ Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ контСксты Π² Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… исслСдованиях. ВСхнология» прСдставлСны Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ… ΠΏΠΎ Π³Π΅ΠΎΠ΄Π΅Π·ΠΈΠΈ ΠΈ ΠΊΠ°Ρ€Ρ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ, химичСской Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΠΌΠ°ΡˆΠΈΠ½ΠΎΡΡ‚Ρ€ΠΎΠ΅Π½ΠΈΡŽ, ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹ΠΌ тСхнологиям, ΡΡ‚Ρ€ΠΎΠΈΡ‚Π΅Π»ΡŒΡΡ‚Π²Ρƒ ΠΈ Ρ€Π°Π΄ΠΈΠΎΡ‚Π΅Ρ…Π½ΠΈΠΊΠ΅. ΠŸΡ€Π΅Π΄Π½Π°Π·Π½Π°Ρ‡Π΅Π½Ρ‹ для Ρ€Π°Π±ΠΎΡ‚Π½ΠΈΠΊΠΎΠ² образования, Π½Π°ΡƒΠΊΠΈ ΠΈ производства. Π‘ΡƒΠ΄ΡƒΡ‚ ΠΏΠΎΠ»Π΅Π·Π½Ρ‹ студСнтам, магистрантам ΠΈ аспирантам унивСрситСтов.=In this Electronic collected materials β€œNational and European dimension in research. Technology” works in the fields of geodesy, chemical technology, mechanical engineering, information technology, civil engineering, and radio-engineering are presented. It is intended for trainers, researchers and professionals. It can be useful for university graduate and post-graduate students

    Developing a service for the personalisation of running shoes

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    The aim of this research was to specify and develop a service that is capable of delivering personalisable running shoes with mass appeal. Current sports footwear personalisation services focus primarily on aesthetic design via the internet. Aesthetics do not appear to be the consumers primary interest when purchasing running shoes and a large number are also reluctant to purchase online; preferring to purchase from specialist running stores where they receive the advice needed and can directly interact with the product. After reviewing the literature, it was hypothesised that the implementation of a primarily comfort and performance running shoe personalisation service with an in store fitting element, utilising additive manufacturing as an enabling technology, would give the greatest opportunity for success. Survey methods and store visits were employed that targeted both qualitative and quantitative data, exploring consumer running shoe purchase preferences, running shoe use and opinions of current personalisation services. The findings from these studies supported the previously stated hypothesis and enabled the specification of a suitable service. Subsequently, the focus of this research was the development of a toolkit, a computer-based system that enables the consumer to make their selections, the core of most of the current services. Experts in biomechanics and additive manufacturing were consulted to ensure that a feasible yet innovative solution was delivered. The resultant toolkit prototype (www.yourstep.co.uk) was tested formatively, using multiple methods and summatively with a large sample. Using the toolkit was considered an enjoyable, intuitive experience; a large percentage (69%) of summative testing participants would consider purchasing personalised running shoes using this method. The approach adopted to specify and develop this service provides a framework, based upon empirical research, for those looking to implement a practical running shoe personalisation service that meets their consumers requirements

    Learning Outcomes of Classroom Research

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    Personal pronouns are a linguistic device that is used to engage students at various educational levels. Personal pronouns are multifunctional, and their functions range from inclusion to exclusion, and include establishing of rapport with students. In this chapter, we compare the use of personal pronouns at university and secondary school levels. Our previous study (Yeo & Ting, 2014) showed the frequent use of you in lecture introductions (2,170 instances in the 37,373-word corpus) to acknowledge the presence of students. The arts lecturers were more inclusive than the science lecturers, reflected in the less frequent use of exclusive-we and we for one, as well as the frequent use of you-generalised. We have also compiled and analysed a 43,511-word corpus from 15 English lessons in three Malaysian secondary schools. This corpus yielded 2,019 instances of personal pronoun use. The results showed that you was the most frequently used personal pronoun, followed by we and I. You-audience was used more than you-generalised, and the main function was to give instructions to students. The teachers appeared to be more directive than the lecturers in the previous study, who sometimes used the inclusive-we for you and I and we for I to lessen the social distance with students, indicating that the discourse functions of personal pronouns vary with the educational context. The findings suggest that educators can be alerted to the versatility of personal pronouns, for example, for engaging students in the lesson and for asserting authority in the subject matter. Keywords: student engagement; personal pronouns; lecture; classroom; teache

    Learning outcomes of classroom research

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    2020, UMaine News Press Releases

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    This is a catalog of press releases put out by the University of Maine Division of Marketing and Communications between January 2, 2020 and December 15, 2020

    Cognitive Foundations for Visual Analytics

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