Miracle-dz/UniFAR-FTUs huggingface dataset:
'Thinking about parenting' : the role of mind-mindedness and parental cognitions in parental behaviour and child developmental outcomes

This thesis aimed to investigate the proposal that mind-mindedness – a caregiver’s proclivity to treat their child as an individual with a mind of their own (Meins, 1997) – is a quality of close relationships, by assessing mind-mindedness (a) in caregiver–child dyads where the relationship has not spanned the child’s life, (b) in dyads where the relationship has been judged as dysfunctional, and (c) within an interactional context. Studies 1 and 2 showed that mind-mindedness was lower in adoptive parents (ns 89, 36) compared with biological parents (ns 54, 114); this group difference was independent of parental mental health and parents’ views on child development, and could not fully be explained in terms of children’s behavioural difficulties (Study 2). Study 3 showed that mind-mindedness was also lower in foster carers (n = 122), and biological parents whose children either were the subject of a child protection plan (n = 172) or had been taken into care (n = 92), compared with a community sample of biological parents (n = 128). The group differences were independent of parental mental health, children’s behavioural difficulties, and parents’ reported warmth and inductive reasoning. Study 4 developed and validated a new interaction-based assessment of mind-mindedness for use in the preschool years. The new interactional measure of mothers’ mind-mindedness in relation to their 44-month-olds (n = 151) was positively related to the established indices of mind-mindedness: appropriate mind-related comments in the first year of life and concurrent mind-minded child descriptions. Study 5 provided further validation of the new interactional measure by demonstrating its positive associations with known outcomes of mind-mindedness: children’s mentalising abilities at age 4. However, the new interactional measure did not mediate the relation between early mind-mindedness and children’s mentalising abilities. Collectively, the findings are in line with mind-mindedness being a relational construct.
Race Does Not Predict Melanocyte Heterogeneous Responses to Dermal Fibroblast-Derived Mediators

Introduction Abnormal pigmentation following cutaneous injury causes significant patient distress and represents a barrier to recovery. Wound depth and patient characteristics influence scar pigmentation. However, we know little about the pathophysiology leading to hyperpigmentation in healed shallow wounds and hypopigmentation in deep dermal wound scars. We sought to determine whether dermal fibroblast signaling influences melanocyte responses. Methods and Materials Epidermal melanocytes from three Caucasians and three African-Americans were genotyped for single nucleotide polymorphisms (SNPs) across the entire genome. Melanocyte genetic profiles were determined using principal component analysis. We assessed melanocyte phenotype and gene expression in response to dermal fibroblast-conditioned medium and determined potential mesenchymal mediators by proteome profiling the fibroblast-conditioned medium. Results Six melanocyte samples demonstrated significant variability in phenotype and gene expression at baseline and in response to fibroblast-conditioned medium. Genetic profiling for SNPs in receptors for 13 identified soluble fibroblast-secreted mediators demonstrated considerable heterogeneity, potentially explaining the variable melanocyte responses to fibroblast-conditioned medium. Discussion Our data suggest that melanocytes respond to dermal fibroblast-derived mediators independent of keratinocytes and raise the possibility that mesenchymal-epidermal interactions influence skin pigmentation during cutaneous scarring.
SOMG: a service oriented manufacturing grid system

The term manufacturing grid (MG) is the application of grid technologies on manufacturing, which really is a cooperation platform and resource sharing system among manufacturing enterprises. Many works have been done on MG architecture but most of them are case-by-case for the complicated of manufacturing itself. By analyzing the trend of advanced manufacturing technology development and the characteristics of MG, it points out that the essential of MG concept is a virtual manufacturing organization, which a combination of data grids and service grids. After discussing the feasibility of service oriented MG model and by giving the realization thought of SOMG, the whole architecture of SOMG is presented. In this architecture, a peer-to-peer node structure responsible for aggregating manufacturing resource and service by distributed hash table approach is presented. At last, the way of manufacturing services organization is discussed.
Statistical analysis of arthroplasty register data

Abstract Data from arthroplasty registers are often analyzed using survival methods. Several methodological problems exist, for example relating to competing events, non-random censoring, non-proportional hazards and dependent observations. League tables and ranking of specific survival results leds to further methodological difficulties. Most of these problems are, however, well known and a number of methods for dealing successfully with the problems have been developed. These methods are usually accessible in commercially available statistical software packages. The statistical analysis and reporting of data from arthroplasty registers can thus be improved. Development of arthroplasty register guidelines for statistical analysis could play an important role in making these registers even more useful.
Player Tracking and Analysis of Basketball Plays

We developed an algorithm that tracks the movements of ten different players from a video of a basketball game. With their position tracked, we then proceed to map the position of these players onto an image of a basketball court. The purpose of tracking player is to provide the maximum amount of information to basketball coaches and organizations, so that they can better design mechanisms of defense and attack. Overall, our model has a high degree of identification and tracking of the players in the court.
Genetic Tools for the Analysis of Drosophila Stomatogastric Nervous System Development

The Drosophila stomatogastric nervous system (SNS) is a compact collection of neurons that arises from the migration of neural precursors. Here we describe genetic tools allowing functional analysis of the SNS during the migratory phase of development. We constructed GAL4 lines driven by fragments of the Ret promoter, which yielded expression in a subset of migrating neural SNS precursors and also included a distinct set of midgut associated cells. Screening of additional GAL4 lines driven by fragments of the Gfrl/Munin, forkhead, twist and goosecoid (Gsc) promoters identified a Gsc fragment with expression from initial selection of SNS precursors until the end of embryogenesis. Inhibition of EGFR signaling using three identified lines disrupted the correct patterning of the frontal and recurrent nerves. To manipulate the environment traveled by SNS precursors, a FasII-GAL4 line with strong expression throughout the entire intestinal tract was identified. The transgenic lines described offer the ability to specifically manipulate the migration of SNS precursors and will allow the modeling and in-depth analysis of neuronal migration in ENS disorders such as Hirschsprung’s disease.
Psychological Flexibility and Self-Compassion: Contributions of gender and its association with adolescent depression

Background: In adolescence, depression is a very impairing and recurrent condition. So it is crucial to identify variables that may contribute to its effective prevention and/or treatment. Self-Compassion and Psychological Flexibility have been pointed to as factors with an important role in the treatment of depression and in predicting recovery. However few studies have addressed these factors in depressed adolescents, and even fewer have studied the patterns of its association according to gender. Aim(s): The main aim of this research is to examine the relationships between depression, self-compassion and psychological flexibility, taking also into account the contribution of gender, in a sample composed of depressed and non-depressed adolescents. Methods and Results: The samples are comprised by adolescents aged between 14 and 18 years, 388 from the general population (non-clinical sample) and 25 which were clinically depressed (clinical sample), and were collected in Portuguese schools, hospitals, and private clinics. Depressed and non-depressed adolescents significantly differ in regard to self-compassion and psychological flexibility. In the clinical sample, as expected, we found lower scores in the positive dimensions of self-compassion and of psychological flexibility, presenting higher scores of experiential avoidance. The results also show that gender significantly contributes to the relationship between depressive symptoms and some of these variables, suggesting a moderating effect of gender. Conclusions: Some possible explanations for these associations are presented, as well as clinical implications for prevention and treatment programs.
A polygonal approach for interpolating meshes of curves by subdivision surfaces

Given a polyhedral network P/sub 0/ defining a subdivision surface S and an arbitrary mesh of tagged control polygons (cp/sub i/)/sub 1⩽i⩽n/ on P/sub 0/, this paper describes an approach to force the limit surface S to interpolate the B-spline curves of (cp/sub i/). For each control polygon cp/sub i/, we construct a polygonal complex whose mid-polygon is cp/sub i/ or its first subdivided one. A polygonal complex is a sequence of panels such that every two adjacent panels share exactly one edge and the mid-points of these edges make the mid-polygon of the complex. Since the complexes themselves are embodied in the original polyhedron or its first subdivided the limit surface will interpolate the limit curves of these complexes.
Designing Journalists: Teaching Journalism Students to Think Like Web Designers

The authors introduced 80 university-level journalism students to a web design program called Klynt and supervised the creation of multiple interactive documentaries. They discovered that fledgling reporters could effectively design interactive media while creating work that reflects their own candid and extemporaneous ethos. Building on the insight that journalism in the digital age must give rise to modified best practices, this study examines the complex production processes from which multiple i-docs emerged. The authors conclude by suggesting four tentative “new best practices” for journalists attempting to think and act like web designers.
Workflow enactment with continuation and future objects

An increasing number of software developers are turning to workflow to separate the logic and the control aspects in their applications, thus making them more amenable to change. However, in spite of recent efforts to standardize and provide reusable workflow components, many developers build their own. This is a challenging endeavor and involves solving problems which seem incompatible with the object paradigm and current object-oriented programming languages. In the context of an object-oriented workflow framework, this paper demonstrates a novel approach that resolves this impedance mismatch with techniques drawn from programming language theory. This successful cross-pollination narrows the gap between the results of decades of research in programming languages and developers working hard to cope with change.
BUILDING TECHNOPRENEURSHIP FOR NEXT GENERATION: HOW THE BENEFITS OF TECHNOENTREPRENEURSHIP EDUCATION AFFECT CAREER INTENTIONS OF COLLEGE STUDENTS

Abstrak : Techno-entrepreneurship education; theory, concept, creativity and innovation memain peran penting dalam membentuk sikap-perilaku, keahlian, kultur, awareness-motivation, mindset shift dan yang paling penting adalah menuntun career intentions mahasiswa untuk menjadi seorang teknousaha atau wirausaha. Para mahasiswa, khususnya yang telah menyelesaikan studi S1, tidak boleh bergantung pada bursa tenaga kerja yang tidak menentu. Menjadi technopreneur dan entrepreneur merupakan cara yang efektif untuk mengatasi pengangguran yang semakin meningkat dari tahun ke tahun dan sekaligus penciptaan lapangan kerja baru. Yang menjadi pertanyaan penelitian ini adalah “apakah manfaat edukasi tekno-kewirausahaan secara signifikan berdampak pada intensi karir mahasiswa? ” Penelitian ini dilakukan melalui kuesionir untuk 85 mahasiswa STMIK Pontianak; 63 responden jurusan SI dan 22 responden jurusan TI. Data yang telah dikumpulkan kemudian dianalisis dengan metode frequency accounts, percentages dan discrete probability distributions. Karena penelitian ini menitik beratkan pada intensi karir mahasiswa, maka diperlukan penelitian lanjutan untuk mengukur realitas responden yang benar-benar menjadi teknousaha. Keywords : Techno-entrepreneurship education, career intention. technology, technopreneurs, entrepreneurs, creativity, innovation
The lived experience of high achieving Year 13 boys using silent in-school individual study time during timetabled study periods

III ACKNOWLEDGEMENTS . V TABLE OF CONTENTS . VII LIST OF TABLES AND FIGURES . XIV PREFACE THE LIVED EXPERIENCE OF HIGH ACHIEVING YEAR 13 BOYS . XV CHAPTER 1 – INTRODUCTION . 1 Background . 1 Context . 3 The school . 5 Cambridge International Examinations . 7 Table 1 UCAS Tariff Points . 9 Students and silent study . 11 My background . 12 My role as the researcher . 13 Research purpose . 13 Significance, scope, and definitions . 15 Significance . 15 Scope . 15 Thesis outline . 16
A General equilibrium analysis of software development : copyright protection and contract enforcement

We develop a model to study the implications of a legal environment on the organization of software production. We show that contract enforcement a®ects the organizational mode (i.e., in-house versus outsourcing) of customized software development while copyright protection determines the introduction of package software. When copyright protection is weak, only customized software will be developed. When copyright protection is strong, both customized software and packaged software will be developed. JEL Classi cation No.: L22, L24, L86, D23
Performance evaluation of a Table driven and On-Demand Routing protocol in Energy Constraint MANETs

This paper addresses energy conservation which is a very important factor in Energy Constraint Mobile ad-hoc Networks (MANETs) and also try to reduce routing overhead for efficient functioning of the network. Every protocol gives different results depending upon the application. Here we are comparing two different protocols in context of energy conservation and routing overhead. We proposed our work in two modules named Node Energy Aware Methodology which includes conditional Min-Max Battery Cost Routing Algorithm (CMM-BCR) and Destination Estimation Module which includes Distance Routing Effect Algorithm for Mobility (DREAM). Both of these modules together applied over Dynamic Source Routing protocol (DSR) which is On-Demand Routing protocol and over Destination Sequence Distance Vector Routing Protocol (DSDV) which is a Table driven routing protocol. Extensive simulation shows that when this energy scheme used with DSR provides better result than DSDV. As energy efficiency is of main concern in ad-hoc networks so our main aim is to know which among these two protocols is good in energy conservation and increases network lifetime by reducing overhead. We used NS-2 to simulate 50 nodes.
On Sensor Fusion for Airborne Wind Energy Systems

A study on filtering aspects of airborne wind energy generators is presented. This class of renewable energy systems aim to convert the aerodynamic forces generated by tethered wings, flying in closed paths transverse to the wind flow, into electricity. The accurate reconstruction of the wing's position, velocity, and heading is of fundamental importance for the automatic control of these kinds of systems. The difficulty of the estimation problem arises from the nonlinear dynamics, wide speed range, large accelerations, and fast changes of direction that the wing experiences during operation. It is shown that the overall nonlinear system has a specific structure allowing its partitioning into subsystems, hence leading to a series of simpler filtering problems. Different sensor setups are then considered, and the related sensor fusion algorithms are presented. The results of experimental tests carried out with a small-scale prototype and wings of different sizes are discussed. The designed filtering algorithms rely purely on kinematic laws, hence they are independent of features such as wing area, aerodynamic efficiency, mass, and so on. Therefore, the presented results are representative for systems with larger size and different wing design, different number of tethers and/or rigid wings also.
Mammogram image enhancement and segmentation

This paper proposes a image enhancement and segmentation method for mammographic images, which is based on the pixel intensity transformation, spatial filtering, edge detection, and region growing techniques. This method consists of two approaches. The first approach is applying intensity transformation, logarithmic transformation, contrast stretching, histogram equalization and spatial filtering techniques separately to enhance the mammogram images. In the second approach is applying edge detection operators, local and global thresholding techniques used to extract the suspicious regions from back ground tissue.
Is the Cape Roux marine protected area (Saint-Raphaël, Mediterranean Sea) an efficient tool to sustain artisanal fisheries? First indications from visual censuses and trammel net sampling

In recent decades, marine reserves have been established either to protect ecosystem structure and biolog- ical diversity or to serve as management tools to counter the overexploitation of fish stocks. The Cape Roux marine protected area (MPA), in the Mediterranean Sea, was established in December 2003 for the management of artisanal fisheries and enhancement target fish stocks. Monitoring of littoral fish assemblages (0-30 m depth) in this zone began one year after the MPA was set up. The survey was conducted at 6 stations, located inside and outside the MPA, using three methods: underwater visual cen- sus (UVC) on transects, UVC using a new fish assemblage survey technique (FAST), and experimental net fishing performed by a fisherman. The FAST indices were derived from visual censuses, performed along a random pathway, scoring species on a presence/absence basis and size on a 2-class basis. Indices were calculated seasonally, by applying "weights" according to species and size. This study presents results obtained between October 2005 and June 2007. In the protected area, the experimental fishing yielded significantly higher abundance and species richness, and the FAST method highlighted a decrease in seasonal fluctuations. These two complementary methods (UVC and experimental fishing) revealed the early changes in fish assemblages in response to protection. The FAST method employed here seems to be relevant for the study of artisanal fishery target fishes, as a low-cost and sensitive UVC method.
Sensor relocation for emergent data acquisition in sparse mobile sensor networks

In this paper, we study the problem of sensor relocation for emergent data acquisition (initiated by a base station) in sparse mobile sensor networks. We propose a distributed scheme called BRIDGE that relocates mobile sensors to fulfill an emergent data acquisition task with the objective to minimize the task completion time. BRIDGE gradually finds a sensor that is close to the task location and relocates that sensor to the task location, and at the same time relocates some other sensors to connect that sensor to the base station. BRIDGE exploits the encountered sensors during relocation, and handles the challenges caused by intermittent connections. Our extensive performance study shows the effectiveness of our proposed scheme.
Investment decision model via an improved BP neural network

In macro investment, an investment decision model is established by using an improved back propagation (BP) artificial neural network (ANN). In this paper, the relations between elements of investment and output of products are determined, and then the optimal distribution of investment is determined by adjusting the distributions rationally. This model can reflect the highly nonlinear mapping relations among each element of investment by using nonlinear utility functions to improve the architecture of artificial neural network, which can be widely applied in investment problems.
Fine mapping of the clubroot resistance gene CRb and development of a useful selectable marker in Brassica rapa

In Chinese cabbage (Brassica rapa), the clubroot resistance (CR) gene CRb is effective against Plasmodiophora brassicae isolate No. 14, which is classified as pathotype group 3. Although markers linked to CRb have been reported, an accurate position in the genome and the gene structure are unknown. To determine the genomic location and estimate the structure of CRb, we developed 28 markers (average distance, 20.4 kb) around CRb and constructed a high-density partial map. The precise position of CRb was determined by using a population of 2,032 F2 plants generated by selfing B. rapa ‘CR Shinki. ’ We determined that CRb is located in the 140-kb genomic region between markers KB59N07 and B1005 and found candidate resistance genes. Among other CR genes on chromosome R3, a genotype of CRa closest marker clearly matched those of CRb and Crr3 did not confer resistance to isolate No. 14. Based on the genotypes of 11 markers developed near CRb and resistance to isolate No. 14, 82 of 108 cultivars showed a strong correlation between genotypes and phenotypes. The results of this study will be useful for isolating CRb and breeding cultivars with resistance to pathotype group 3 by introducing CRb into susceptible cultivars through marker-assisted selection.
Investigating mobile broadband affordability in developing countries: a cross-national comparison

This paper aims to identify and understand whether national policy initiatives, regulatory measures, or governance practices increase a developing nation's mobile broadband affordability. For this purpose, a cross-national multiple regression analysis of non-OECD countries is used. The results revealed that when controlling for wealth, education and other factors, competition to provide mobile services, financial investment in ICTs, and income inequality are all important variables for determining mobile broadband affordability. Findings suggest that service providers and other stakeholders are still recouping the cost of deploying the infrastructure necessary to provide mobile services, and have not yet achieved the economies of scale required for the price of mobile broadband to begin to fall, at least in the developing world. This paper provides contributions to academia, industry, and policymakers.
Stream Processing of Integral Images for Real-Time Object Detection

This paper presents the design and evaluation of the stream processing implementation of the integral image algorithm. The integral image is a key component of many image processing algorithms in particular the Haar-like feature based systems. Modern GPUs provide a large number of processors with a peak floating point performance that is significantly higher than current general CPUs. This results in significant performance improvement when the Integral Image calculation for large input images is offloaded onto the GPU of the system.