Miracle-dz/UniFAR-FTUs huggingface dataset:
Career conversations in coaching: the contribution that career theory can make to coaching practice

ABSTRACT This paper responds to calls for an increased evidence base for coaching practice by exploring the contribution that career research and theory could make to this field. The paper summarises three small-scale studies focusing on career change undertaken by post-graduate students enrolled on an MSc in Career Coaching at a university in London. The studies explore the experiences of three groups of people who have recently changed career direction: female Black African entrepreneurs, academic research scientists moving to industry and people choosing a career in careers. The findings of the studies highlight the role of meaning and values, and the influence of others on career choice. The studies show too how the participants wrestle with subjective notions of career success, and that the impetus to make a career change comes from both a disenchantment with one situation and an attraction towards another. The paper concludes with some suggestions for coaching practice.
Umbilical Cord Serum Erythropoietin Levels and Maternal Smoking in Pregnancy

Objective. To evaluate the effect of maternal smoking during pregnancy on levels of umbilical cord erythropoietin. Methods. Erythropoietin levels were measured in umbilical cord sera of 60 newborns who were delivered vaginally at term. There were 20 (33%) smoking and 40 (67%) nonsmoking mothers. Results. Mean cord serum erythropoietin levels were significantly lower in the nonsmokers (nonsmokers, 24 ± 9 IU/L; smokers, 61 ± 46 IU/L; P < .001). There was a significant positive correlation between the number of cigarettes smoked per day and cord serum erythropoietin levels (r, 0.58; P ≤ .05). Conclusions. Smoking during pregnancy is associated with increased levels of umbilical cord erythropoietin at birth. This may indicate a risk of fetal hypoxia and growth restriction. Education and encouragement of cessation of smoking during pregnancy are important to avoid associated fetal and maternal morbidity and mortality.
Enteral vs intravenous rehydration therapy for children with gastroenteritis: a meta-analysis of randomized controlled trials.

OBJECTIVE To review the relative efficacy and safety of enteral vs intravenous (IV) rehydration therapy in treating childhood gastroenteritis. DATA SOURCES MEDLINE, EMBASE, and the Cochrane Controlled Trials Register databases were searched. Known investigators and expert bodies were contacted to locate unpublished and ongoing studies. STUDY SELECTION Studies were selected based on the following criteria: randomized or quasi-randomized trials; children younger than 15 years with a clinical diagnosis of gastroenteritis of less than 1-week duration; interventions comprising enteral and IV treatment arms; and at least 1 of the following: major adverse event rates, treatment failure rates, weight gain with treatment, measurement of ongoing losses, length of hospital stay, costs of treatment, and satisfaction with treatment. DATA EXTRACTION Data were extracted from eligible studies, which were then combined using a random-effects model. DATA SYNTHESIS Sixteen trials involving 1545 children and conducted in 11 countries were identified. Compared with children treated with IV rehydration, children treated with oral rehydration had significantly fewer major adverse events, including death or seizures (relative risk, 0.36; 95% confidence interval [CI], 0.14-0.89), and a significant reduction in length of hospital stay (mean, 21 hours; 95% CI, 8-35 hours). There was no difference in weight gain between the 2 groups (mean, -26 g; 95% CI, -61 to 10 g). The overall failure rate of enteral therapy was 4.0% (95% CI, 3.0%-5.0%). CONCLUSIONS For childhood gastroenteritis, enteral rehydration is as effective if not better than IV rehydration. Enteral rehydration by the oral or nasogastric route is associated with significantly fewer major adverse events and a shorter hospital stay compared with IV therapy and is successful in most children.
Pragmatic language development in 18- to 47-month-old Italian children: A study with the Language Use Inventory

The study was designed to investigate pragmatic development and the ability to make comments/questions on social and non-social topics in Italian-speaking children aged 18–47 months. Parents of 190 children completed an adaptation of the Language Use Inventory into Italian. Overall, the children’s performance on the subscales of the LUI-Italian investigating verbal communication increased, while the score on gestural subscales, with both an imperative and a declarative function, decreased with age. Specific analyses of comments and questions about things, self and other people showed specific age-related differences. No main gender effect was found, but an interaction of gender × age group is discussed. The article concludes with limitations and guidelines for future research.
The long non-coding RNA HNF1A-AS1 regulates proliferation and metastasis in lung adenocarcinoma

Long noncoding RNAs (lncRNAs) have emerged as key regulators of tumor development and progression. The lncRNA HNF1A-antisense 1 (HNF1A-AS1) is a 2455-bp transcript on chromosome 12 with a potential oncogenic role in esophageal adenocarcinoma. Nevertheless, current understanding of the involvement of HNF1A-AS1 in lung adenocarcinoma tumorigenesis remains limited. In this study, we analyzed the roles of HNF1A-AS1 in 40 lung adenocarcinoma tissues and five lung cancer cell lines. Our results showed that HNF1A-AS1 was significantly up-regulated in lung adenocarcinoma tissues compared with corresponding non-tumor tissues, and its expression level was significantly correlated with TNM stage, tumor size, and lymph node metastasis. The UCSC Cancer Genomics Browser's Kaplan-Meier plot suggested that patients in the high HNF1A-AS1 expression subgroup experienced worse overall survival compared to the low expression subgroup. Moreover, HNF1A-AS1 was determined to promote tumor proliferation and metastasis, both in vitro and in vivo, by regulating cyclin D1, E-cadherin, N-cadherin and β-catenin expression. In addition, the binding of HNF1A-AS1 to DNMT1 may explain its regulation of E-cadherin. In conclusions, we demonstrated that increased HNF1A-AS1 expression could regulate cell proliferation and metastasis and identified it as a poor prognostic biomarker in lung adenocarcinoma.
Beauty surveillance: The digital self-monitoring cultures of neoliberalism

This article argues that ‘beauty apps’ are transforming the arena of appearance politics and foregrounds a theoretical architecture for critically understanding them. Informed by a feminist-Foucaultian framework, it argues that beauty apps offer a technology of gender which brings together digital self-monitoring and postfeminist modalities of subjecthood to produce an hitherto unprecedented regulatory gaze upon women, which is marked by the intensification, extensification and psychologization of surveillance. The article is divided into four sections. First, it introduces the literature on digital self-tracking. Second, it sets out our understanding of neoliberalism and postfeminism. Third, it looks at beauty and surveillance, before offering, in the final section, a typology of appearance apps. This is followed by a discussion of the modes of address/authority deployed in these apps – especially what we call ‘surveillant sisterhood’ – and the kinds of entrepreneurial subjectivity they constitute. The article seeks to make a contribution to feminist surveillance studies and argues that much more detailed research is needed to critically examine beauty apps.
Integrated Electrochemical Analysis System with Microfluidic and Sensing Functions

An integrated device that carries out the timely transport of solutions and conducts electroanalysis was constructed. The transport of solutions was based on capillary action in overall hydrophilic flow channels and control by valves that operate on the basis of electrowetting. Electrochemical sensors including glucose, lactate, glutamic oxaloacetic transaminase (GOT), glutamic pyruvic transaminase (GPT), pH, ammonia, urea, and creatinine were integrated. An air gap structure was used for the ammonia, urea, and creatinine sensors to realize a rapid response. To enhance the transport of ammonia that existed or was produced by the enzymatic reactions, the pH of the solution was elevated by mixing it with a NaOH solution using a valve based on electrowetting. The sensors for GOT and GPT used a freeze-dried substrate matrix to realize rapid mixing. The sample solution was transported to required sensing sites at desired times. The integrated sensors showed distinct responses when a sample solution reached the respective sensing sites. Linear relationships were observed between the output signals and the concentration or the logarithm of the concentration of the analytes. An interferent, L-ascorbic acid, could be eliminated electrochemically in the sample injection port.
Neural circuitry and neurochemistry of motivated cognitive control: a cross-species approach

Accumulating evidence indicates that the cognitive effects of dopamine depend on the subtype of dopamine receptor that is activated. In particular, recent work with animals as well as current theorizing has suggested that cognitive flexibility depends on dopamine D2 receptor signalling. However, there is no evidence for similar mechanisms in humans. We aim to demonstrate that optimal dopamine D2 receptor signalling is critical for human cognitive flexibility. To this end, a pharmacological pre-treatment design was employed. This enabled us to investigate whether effects of the dopamine receptor agonist bromocriptine on task-set switching were abolished by pre-treatment with the D2 receptor antagonist sulpiride. To account for individual (genetic) differences in baseline levels of dopamine, we made use of a common VNTR polymorphism in the 3’-untranslated region of the dopamine transporter gene, DAT1. Bromocriptine improved cognitive flexibility relative to placebo, but only in subjects with genetically determined low levels of dopamine (n = 27). This beneficial effect of bromocriptine on cognitive flexibility was blocked by pre-treatment with the selective dopamine D2 receptor antagonist sulpiride (n = 14). These results provide strong evidence in favour of the hypothesis that human cognitive flexibility implicates dopamine D2 receptor signalling.
Optimal timing of cross-sectional network samples in longitudinal network studies

When choosing the timing of cross-sectional network snapshots in longitudinal social network studies, the effect on the precision of parameter estimates generally plays a minor role. Often the timing is opportunistic or determined by a variety of considerations such as organizational constraints, funding, and availability of study participants. Theory to guide the timing of network snapshots is also missing. We use a statistical framework to relate the timing to the precision of the parameter estimates, specifically, the sum of the relative widths of their confidence intervals. We illustrate this computationally using the STERGM suite of the statnet package to estimate the parameters of the network dynamics. Analytically, we derive simple approximations for the optimal timing when the parameters correspond to the rates for different network events. We find that the optimal time depends the most on the network processes with short expected durations and few expected events such as the dissolution of ties. We apply our approximations to a simple example of a dynamic network with formation and dissolution of iid ties.
Graduate Theses and Dissertations Graduate College 2010 Network modeling in systems biology

iv CHAPTER 1. INTRODUCTION . 1 1.1 Background . 1 1.2 Network Diagram. 1 1.3 Two major methodologies to model biological systems in network . 3 1.3.1 Static large-scale biological network modeling . 3 1.3.2 Dynamic Quantitative modeling . 6 1.4 Proposed methods and contributions of this work . 7 1.5 Organization . 8 CHAPTER 2. OMICSVIZ AND OMICSANALYZER FOR INTEGRATING AND ANALYZING OMICS DATA IN NETWORK CONTEXT . 10 2.1 Network provides graceful and concrete modeling platform to integrate complex large-scale biological datasets. 10 2.2 Introduction to Cytoscape . 12 2.3 OmicsViz: Cytoscape plug-in for visualizing omics data across species . 14 2.3.1 Omics data import and mapping . 14 2.3.2 Data Visualization . 16 2.3. 3 Usage example . 17 2.4 OmicsAnalyzer: a Cytoscape plug-in suite for modeling omics data . 17 2.4. 1 Architecture of OmicsAnalyzer . 18 2.4. 2 Data collection and pre-processing . 19 2.4. 3 OmicsAnalyzer Statistical Analysis . 20 2.4. 4 OmicsAnalyzer Visualization . 22 CHAPTER 3. CYTOMODELER, A TOOL FOR BRIDGING LARGE SCALE NETWORK ANALYSIS AND DYNAMIC QUANTITATIVE MODELING . 25 3.1 Introduction . 25 3.1.1 Architecture of CytoModeler . 28 3.1.2 CytoModeler Model Editor . 30 3.1.3 CytoModeler SBML Exchanger . 33 3.1.4 CytoModeler Simulation Interface . 34 3.1.5 CytoModeler Visualizer . 38 3.2 An Usage Example: Build SM-SNARE Model Using CytoModeler . 43
On the consistency of likelihood penalization methods in large sensor networks

This paper is devoted to the problem of source detection with large sensor networks, in a context where the number of available samples N and the number of antennas M are of the same order of magnitude. We focus here on the popular likelihood penalization (LP) methods, such as Minimum Description Length (MDL) or Akaike Information Criterion (AIC). Such methods have been widely studied in the context where N >;>; M, and in particular the consistency of the MDL and the inconsistency of the AIC estimator were established in the asymptotic regime where N → ∞ while M remains constant. We propose here an analysis in the asymptotic regime where M;N both converge to ∞ at the same rate, and using results from random matrix theory, we establish conditions on the penalty term to ensure consistency of LP methods in this latter regime. As a consequence, we deduce that the MDL method is always inconsistent while the AIC method can be consistent in certain situations.
Cellular Expression of Cyclooxygenase, Aromatase, Adipokines, Inflammation and Cell Proliferation Markers in Breast Cancer Specimen

Current evidences suggest that expression of Ki67, cyclooxygenase (COX), aromatase, adipokines, prostaglandins, free radicals, β-catenin and α-SMA might be involved in breast cancer pathogenesis. The main objective of this study was to compare expression/localization of these potential compounds in breast cancer tissues with tissues collected adjacent to the tumor using immunohistochemistry and correlated with clinical pathology. The breast cancer specimens were collected from 30 women aged between 49 and 89 years who underwent breast surgery following cancer diagnosis. Expression levels of molecules by different stainings were graded as a score on a scale based upon staining intensity and proportion of positive cells/area or individually. AdipoR1, adiponectin, Ob-R, leptin, COX-1, COX-2, aromatase, PGF2α, F2-isoprostanes and α-SMA were localised on higher levels in the breast tissues adjacent to the tumor compared to tumor specimens when considering either score or staining area whereas COX-2 and AdipoR2 were found to be higher considering staining intensity and Ki67 on score level in the tumor tissue. There was no significant difference observed on β-catenin either on score nor on staining area and intensity between tissues adjacent to the tumor and tumor tissues. A positive correlation was found between COX-1 and COX-2 in the tumor tissues. In conclusion, these suggest that Ki67, COXs, aromatase, prostaglandin, free radicals, adipokines, β-catenin and α-SMA are involved in breast cancer. These further focus the need of examination of tissues adjacent to tumor, tumor itself and compare them with normal or benign breast tissues for a better understanding of breast cancer pathology and future evaluation of therapeutic benefit.
Teaching English using a multiple intelligences approach

This research was done to study the use of the Multiple Intelligences Approach (MIA) for teaching English especially for young learners. The participants of the study were fourth grade, primary school, students at Al – Imtiyaaz Islamic School in Banda Aceh and the study used a descriptive qualitative research method. The school English class emphasized the implementation of MIA for apperception and also used a variety of teaching-learning strategies. The data was obtained by direct observations, an interview with the teacher and document analysis. It was found that the apperception section in the MIA took longer than any of the other approaches. This was because the apperception section had four stages (alpha zone, warming up, pre–teaching, and scene setting). The function was to enable the teacher to figure out each student’s best conditions for learning. The result of this study showed that from observations at five meeting, the apperception took 20 to 25 minutes, the core activities took 55 to 60 minutes, and the closing took only 5 to 10 minutes. Furthermore, in the core activities, the dominant intelligences of the students were integrated using various learning strategies. The results also showed that the teacher combined more than two intelligences in teaching the English class. The verbal–linguistic intelligence was the main component of the English class and reached about 24%, the bodily–kinaesthetic and intrapersonal intelligences were each 19%, musical intelligence was 14%, and interpersonal intelligence was about 9%. Furthermore, logical, naturalist, and spatial–visual intelligences each had about5%. whilst existential intelligence was not found in this study (0%).
Hashtag Recommendation Using Attention-Based Convolutional Neural Network

Along with the increasing requirements, the hashtag recommendation task for microblogs has been receiving considerable attention in recent years. Various researchers have studied the problem from different aspects. However, most of these methods usually need handcrafted features. Motivated by the successful use of convolutional neural networks (CNNs) for many natural language processing tasks, in this paper, we adopt CNNs to perform the hashtag recommendation problem. To incorporate the trigger words whose effectiveness have been experimentally evaluated in several previous works, we propose a novel architecture with an attention mechanism. The results of experiments on the data collected from a real world microblogging service demonstrated that the proposed model outperforms state-of-the-art methods. By incorporating trigger words into the consideration, the relative improvement of the proposed method over the state-of-the-art method is around 9.4% in the F1-score.
Akelarre : a new Block Cipher Algorithm

This document presents the operation of the high speed encryption algorithm Akelarre. Akelarre is a secret-key iterated block cipher of great flexibilit y in its security level, allowing the modification via software of such parameters as the number of rounds and the key length. Presumably, it is cryptographically secure, due to the heavy use of data dependent rotations and the mixing of arithmetic operations from different algebraic groups. The encryption and decryption algorithms are identical and of easy implementation in both hardware and software.
Impact of the Unique Card on Electronic Commerce

This study focuses on the impact of using the Unique Card technology for electronic commerce transactions. This research has studied how the two factors, lowered privacy and security concerns, and perceived higher trust, lead to consumers' intention to transact using the Unique Card technology. The proposed research model is initially tested, and the results show support for the Unique Card’s relationship to privacy and security, as well as to trust and the intention to transact. Future implications for researchers and Unique Cards are also proposed.
Réadaptation et performance visuelle chez la personne hémianopsique : une étude de cas portant sur les saccades oculaires et le blindsight

ii Table des matières. iii Liste des figures . vii Liste des sigles . viii Liste des abréviations . viii Dédicace . ix Remerciements . x Introduction . 1 CHAPITRE I : REVUE DE LITTÉRATURE . 4 1. Blindsight, une vision residuelle dans l’hemianopsie . 4 1.1. Hémianopsie . 4 1.1.1. Vision . 4 1.1.2. Aspects cliniques . 5 1.2. Blindsight. 6 1.2. 1. Conscience . 6 1.2. 2. Études de cas . 7 1.2. 3. Nature du blindsight . 8 1.2. 4. Évaluation du blindsight. 9 1.2. 5. Action-blindsight . 10 1.3. Corrélats neurophysiologiques . 13 1.3. 1. Voie géniculostriée . 13 1.3. 2. Voie géniculo extrastriée . 14
Joint Power-Distortion Optimization on Devices with MPEG-4 AVC/H.264 Codec

Energy supply is always a bottleneck in wireless video applications. To prolong the battery life, a typical wireless video encoding and streaming system should have the capability of dynamically adjusting its encoding parameters based on the remaining battery supply. In this paper, we consider two types of application scenarios as well as the associated optimization problems. The first one is, given a video quality level, how to find out the optimized encoding parameters so that the total power consumption is minimized. The second one is, given a fixed power consumption level, how to calculate the optimized encoding parameters so that the video quality is best. Accordingly, we jointly consider the power consumption and video quality and pose the above two problems into a uniform optimization framework. Under this framework, we give an efficient solution for the MPEG-4 AVC/H.264 codec and Wi-Fi transmission devices based on a detailed complexity analysis of the H.264 encoder. The analysis method can be easily extended to other video encoder and transmission configuration.
Worker outcomes of LGBT-supportive policies: a cross-level model

Purpose The purpose of this paper is to develop a cross-level conceptual model of organizational- and individual-level outcomes of lesbian, gay, bisexual, and transgender (LGBT)-supportive policies for all workers regardless of their sexual orientation. Design/methodology/approach This is a conceptual paper based on an integration of propositions from perceived organizational support and organizational justice theories. Findings The model suggests that LGBT-supportive policies should be related to perceptions of organizational support directly and indirectly through diversity climate and perceptions of distributive, procedural, and interactional justice. Practical implications The model implies that employees should feel more supported and more fairly treated among firms with LGBT-supportive policies and practices, and that these feelings will be reciprocated. Originality/value This is the first paper to develop propositions about the outcomes of LGBT-supportive policies for all workers, and advances the literature by developing a multi-level model of outcomes of these policies.
An Empirical Examination of Continuance Intention of Social Network Sites

Social network sites (SNSs) have drawn extensive attention among scholars and practitioners. In this study, we aim at explaining the continuance of SNSs. Specifically, we propose and empirically test a research model of continuance intention to use SNSs. We also examine the relative impacts of SNS-specific motivation factors and social factors derived from the SNS environment on continuance intention to use SNSs. Building upon expectation disconfirmation theory (EDT), our research model was empirically tested with 204 Facebook users through an online survey. While prior studies focus mostly on the SNS-specific motivations, our results demonstrated that social factors derived from the SNS environment play a dominant role in explaining the continuance intention to use SNSs. In particular, this study suggested that perceived critical mass, social presence, and social norms are influential and major factors that determine continuance intention. We believe that this study provides significant contributions to both researchers and practitioners in the context of SNSs.