Miracle-dz/UniFAR-FTUs huggingface dataset:
Adding New Variables to the Well-being Process Questionnaire (WPQ) – Further Studies of Workers and Students

Background: The Well-being Process Questionnaire (WPQ) has proven to be a useful instrument in the measurement of well-being. This is because it uses single/short items to measure several well-being variables with the same instrument. This article attempts to add resilience, work-life balance and burnout to the WPQ to find out if they increase its predictive value. Aims: First, to confirm the effect of the established predictors from previous studies which used the WPQ. Secondly, to test new variables: resilience, work-life balance and burnout to observe how they relate with the established variables to check for the possibility of their subsequent addition to future iterations of the WPQ. Methodology: The research summarized in this paper comprises two studies. The sample for the first study comprised 105 White British workers (male and female), aged 18-66 (mean age: 39.8). The sample for the second study was 145 university undergraduates (male and female), aged 18-23 (mean age: 19.19). Ethical approval for both studies was granted by the Research Ethics Committee of the Cardiff University School of Psychology. The theoretical framework was the Demands-Resources Individual Effects (DRIVE) model, while the instruments used were the Well-being Process Questionnaire (WPQ) and the Student Well-being Process Questionnaire (Student WPQ) respectively. Regressions were carried out to test for the established effects. Stepwise regressions were performed to ascertain if the combination of the established effects and new variables had any significant implications for future WPQ iterations and studies. Results: Many of the established effects were replicated in both studies. The longer and shorter items for burnout and work-life balance showed moderate to strong correlations at P<0.001: emotional exhaustion, . 67, depersonalization, . 62 and personal efficacy, 0.58 Work-Family Conflict (WFC), . 74 and Family-Work Conflict (FWC), . 72. For resilience, the shorter and longer scales only correlated in one of the two steps of the confirmatory analyses. Some of the established effects remained after demographics and the new variables were controlled for in stepwise regressions for both studies. Both poor work-life balance and burnout seemed to be related to the negative established effects. Conclusion: All components of work-life balance and burnout (except personal accomplishment) should be included in future iterations of the WPQ.
Understanding the Psychological and Social Origins of Gender Disparities in Self-Beliefs, Motivation, and Educational Attainment

xv INTRODUCTION. 1 CHAPTER 1: Gender Segregation in Educational and Career Outcomes . 4 Out of the Kitchen, Into an Occupational Ghetto: Trends in Educational and Occupational Choices for Women and Men . 5 Horizontal segregation in Australia and female STEM participation . 6 Does Cultural Context Shape Gendered Patterns of Study and Work? 7 What are the Social and Economic Implications of Horizontal Gender Segregation in STEM? 8 Women as an untapped resource to fix the “STEM Crisis”. 9 Social justice perspectives on gender gaps in STEM & the benefits of diverse study and work environments . 10 Chapter Summary . 11 CHAPTER 2: A History of Science and Sexism . 12 The Early Years: Sexism and Science . 13 Have We Really Changed? Gender Essentialist Views as a Mirror to the Past . 15 Hormonal explanations . 17 Structural and functional brain differences . 19 Critiques and Questions re: Gender Essentialist Perspectives . 21 Alternative Perspectives on Gender Differences (and Similarities) . 23 Are men and women really from different planets? 23 The gender similarities hypothesis. 24 Gender as dimensional rather than categorical . 25 Gender Socialisation Arguments: The Feminist Revolution Hits Psychology . 27 Chapter Summary . 28 CHAPTER 3: Expectancy Value Theory . 30 From Rats in Mazes to Girls in Math: Charting the Development of EVT . 30 Applying EVT to gender differences in educational outcomes. 32 Expectancy for Success. 33 Task Value . 34 Attainment value. 35 Intrinsic value. 35
Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid

We examined the usefulness of brief neuropsychological tests and serum Aβ as a predictive test for detecting MCI/AD in older adults. Serum Aβ levels were measured from 208 subjects who were cognitively normal at enrollment and blood draw. Twenty-eight of the subjects subsequently developed MCI (n = 18) or AD (n = 10) over the follow-up period. Baseline measures of global cognition, memory, language fluency, and serum Aβ1–42 and the ratio of serum Aβ1–42/Aβ1–40 were significant predictors for future MCI/AD using Cox regression with demographic variables, APOE ε4, vascular risk factors, and specific medication as covariates. An optimal sensitivity of 85.2% and specificity of 86.5% for predicting MCI/AD was achieved using ROC analyses. Brief neuropsychological tests and measurements of Aβ1–42 obtained via blood warrants further study as a practical and cost effective method for wide-scale screening for identifying older adults who may be at-risk for pathological cognitive decline.
Satisfaction with the country and well-being: future expectations / Satisfacción con el país y bienestar: expectativas acerca del futuro

Abstract The role of expected personal well-being in the perception of the improvement (or deterioration) in living conditions and country satisfaction is analysed, as well as the relationship between the latter and life satisfaction and personal happiness. A national sample of N = 10,654 participants was used, collected through probabilistic, stratified, two-stage and cluster sampling. They responded to the Mexican Encuesta Nacional de Gastos de los Hogares (National Household Spending Survey, ENGASTO), which measures the spending on goods and services, aspects related to satisfaction with life and the country, and expectations of future personal well-being. Correlational analyses show positive associations between perceptions of the country and its expected development on the one hand and participants’ well-being on the other. Expectations of future personal well-being show indirect effects for both the relationship between the perception of improvement (or deterioration) of living conditions and country satisfaction, and the relation between the latter, happiness and life satisfaction.
A modified Hausdorff distance based algorithm for 2-dimensional spatial trajectory matching

With the development of mobile technology, Internet and GIS, LBS plays an important role in various applications. As the basis of LBS, the research on acquisition, processing, storage, query of mobile object trajectories has been quite mature, but the analysis and the application of movement patterns contained in mobile object trajectories is relatively lagging behind. The calculation of trajectory similarity is the key area for mobile object trajectories data mining, and the similarity algorithm based on Hausdorff distance is one of the major algorithms. In this paper, we presents a modified Hausdorff distance (MHD) based algorithm for 2-dimensional trajectory matching in light of the problem of correlation algorithms which are based on Hausdorff distance. This algorithm uses interpolation algorithm to shield the impact to the distance between trajectories due to different position updating polices, sampling granularity, initial position and so on in Mobile Object Database (MOD). The experimental results show that the algorithm can better reflect the trajectory similarity between 2-dimensional mobile objects.
Importance of Critical Thinking in Medical Science Students

Critical thinking is the process of searching, obtaining, evaluating, analyzing, synthesizing and conceptualizing information as a guide for developing one’s thinking with self-awareness, and the ability to use this information by adding creativity and taking risks. The nursing process has been important to nursing practice for a long time. The nursing process has been used as a problem-solving activity to think about a plan of care as the foundation for professional practice in everyday nursing practice. The nursing process may describe a nursing care plan that provides students with a learning experience that helps them practice critical thinking and decision making skills. The nursing process is seen as a decision making approach that promotes critical thinking in nursing. This process consists of five phases namely: assessment, diagnosis, planning, implementation and evaluation.
Optimal Algorithms for Finding the Longest Path with Length and Sum Constraints in a Tree

Let T be a tree in which every edge is associated with a real number. The sum of a path in T is the sum of the numbers associated with the edges of the path and its length is the number of the edges in it. For two positive integers L 1 ≤ L 2 and two real numbers S 1 ≤ S 2 , a path is feasible if its length is between L 1 and L 2 and its sum is between S 1 and S 2 . We address the problem: Given a tree T, and four numbers, L 1 , L 2 , S 1 and S 2 , find the longest feasible path of T. We provide an optimal O(n log n) time algorithm for the problem, where n = |T|.
An Analytical Study of Component-Based Life Cycle Models: A Survey

There are various component-based software engineering models used in component-based software development. These models give guidelines for successful software development. These are important for the systematic development of a product within a given timeline along with all the quality attributes. Employing a suitable component-based software development life cycle model allows project managers to regulate the development process of software products. Each and every component-based software life cycle model has its various advantages and disadvantages according to which the most suitable life cycle model is selected for the systematic development. Therefore we need to compare the component-based software life cycle models. In this paper we compare the V, Y, W, X, Knot, New Era, Elicit and Elite Plus component-based life cycle models.
Influence of Recognition Schemes on Employee Performance in Large Commercial Banks in Nairobi City County in Kenya

Recognizing excellent performance openly builds motivation within the entire organization. It is acknowledged that employee recognition has contagious effects. When an employee witnesses others being rewarded for good performance, it becomes a chain reaction. The study sought to determine the effect of recognition schemes on employee performance. Cognitive Evaluation Theory on Recognition Schemes was used to inform the study. The study adopted a descriptive research design. Descriptive statistics was chosen since it utilizes data collection and analysis techniques that yield reports concerning the measures of central tendency, variation, and correlation. The combination of its characteristic summary and correlation statistics, along with its focus on specific types of research questions, methods, and outcomes necessitated the choice of this design. The study adopted a positivism philosophy. The target population was 22,856 employees working in the six selected Commercial Banks in Nairobi City County composed of both clericals and Management staff. Krejcie and Morgan sample size determination table was used to derive a sample of 377 respondents. Primary data was collected using structured questionnaires that had both close ended and open-ended questionnaires. Quantitative data were analyzed using SPSS. The study conducted various tests including normality test, multicollinearity, stationarity, heteroscedasticity and autocorrelation tests. Factor analysis was carried out among corresponding questions to allow formation of factors with the highest Eigen values. Test of hypothesis was done at 95% confidence interval. The study established a positive and significant relationship between recognition schemes and employee performance (r=0.666, p=0.000), the alternate hypotheses was not rejected. Based on the findings, the study concluded that recognition has a positive and significant effect on employee performance. The researcher recommends that management Commercial Banks should embrace recognition schemes as recognition schemes develops a strongly enthusiastic team and critical source of inspiration for others. Continuous recognition of exemplary employee creates a culture of recognition tied to accomplishment and employee growth. To grow and nurture culture of recognition clear criteria for recognizing employee is required. Recognition creates a deep-rooted and long-term ownership among the employees for the organization. Keywords; Recognition Schemes, Employee Performance, Commercial Banks & Nairobi City County, Kenya.
Cascaded Segmentation of Grained Cell Tissue with Active Contour Models

Cell tissue in microscope images is often grained and its intensities do not well agree with Gaussian distribution assumptions widely used in many segmentation approaches. We present a new cascaded segmentation scheme for inhomogeneous cell tissue based on active contour models. Cell regions are iteratively expanded from initial nuclei regions applying a data-dependent number of optimization levels. Experimental results on a set of microscope images from a human hepatoma cell line prove high quality of the results with regard to the cell segmentation task and biomedical investigations.
Analysis of Methods for Novel Case Selection

Successful information retrieval with case-based reasoning (CBR) depends on a good similarity metric that can distinguish those cases that are most pertinent to a user's query in a potentially large case-base. Traditional CBR ranks cases according to their similarity value and returns a small number of top-ranked cases in response to the query. Since in general the retrieved cases are very well matched to the input user query, there is a high probability that they are also strongly similar to each other, and hence the range of choice offered in the retrieved list is limited. As a response to this issue, some recent research has considered methods to increase the intra-dissimilarity or diversity of the retrieved set. In this paper, we study this problem in detail. We argue that the motivation of diversity strategies is to increase the probability of retrieving unusual or novel cases and introduce a methodology that allows their performance in terms of novel case retrieval to be evaluated. Moreover, we formulate the trade-off between diversity and matching quality as a binary optimisation problem, with an input control parameter allowing explicit tuning of this trade-off. We study solution strategies to the optimisation problems and demonstrate the importance of the control parameter in obtaining desired system performance. The methods discussed are evaluated on synthetic data, based on the publicly available Travel case-based data-set.
Blue Gene/L compute chip: Control, test, and bring-up infrastructure

The Blue Gene®/L compute (BLC) and Blue Gene/L link (BLL) chips have extensive facilities for control, bring-up, self-test, debug, and nonintrusive performance monitoring built on a serial interface compliant with IEEE Standard 1149.1. Both the BLL and the BLC chips contain a standard eServer™ chip JTAG controller called the access macro. For BLC, the capabilities of the access macro were extended 1) to accommodate the secondary JTAG controllers built into embedded PowerPC® cores; 2) to provide direct access to memory for initial boot code load and for messaging between the service node and the BLC chip; 3) to provide nonintrusive access to device control registers; and 4) to provide a suite of chip configuration and control registers. The BLC clock tree structure is described. It accommodates both functional requirements and requirements for enabling multiple built-in self-test domains, differentiated both by frequency and functionality. The chip features a debug port that allows observation of critical chip signals at full speed.
Defining a Beta distribution function for construction simulation

In most applications of simulation to construction, the underlying probability distribution function (PDF) is generally unknown. Consequently, an expert has to select a PDF hoping that the one that is chosen matches the shape of the underlying distribution. This research attempts to quantify, through a sensitivity analysis, the effect of subjective information in choosing parameters for a Beta distribution to be used in earthmoving simulation models.
A high‐level ab initio study of the N2 + N2 reaction channel

A new six‐dimensional (6D) global potential energy surface (PES) is proposed for the full range description of the interaction of the N2(1Σg+)+N2(1Σg+) system governing collisional processes, including N atom exchange. The related potential energy values were determined using high‐level ab initio methods. The calculations were performed at a coupled‐cluster with single and double and perturbative triple excitations level of theory in order to have a first full range picture of the PES. Subsequently, in order to accurately describe the stretching of the bonds of the two interacting N2 molecules by releasing the constraints of being considered as rigid rotors, for the same molecular geometries higher level of theory multi reference calculations were performed. Out of the calculated values a 6D 4‐atoms global PES was produced for use in dynamical calculations. The ab initio calculations were made possible by the combined use of High Throughput Computing and High Performance Computing techniques within the frame of a computing grid empowered molecular simulator. © 2013 Wiley Periodicals, Inc.
Sustainable Competitive Advantage Through Servitization: An Investigation Into Servitization Strategy In the Real EstateDevelopment Sector

Achieving sustainable competitive advantage, based upon services provision, is often claimed to be viable for businesses. There has, however, been little evidence captured on the application of aspects of servitization within the real estate development. By applying the RVB theory, the research propositions of this study include understanding how superior performance is driven from organization capabilities and how different organizations develop and position those capabilities to gain competitive advantage. This research was conducted using an exploratory research and in-depth case study. The study suggests that more strategic alignment between servitization decisions and operations management is required to create competitive advantage.
Gene Expression Based Classification using Iterative Transductive Support Vector Machine

Support Vector Machine (SVM) is a powerful and flexible learning machine. In recent years combination of SVM and Transductive learning has attracted more and more attention. In many applications such as gene expression, unlabeled data is abundant and available. However labeling data is much more difficult and expensive. Dealing with gene expression datasets, challenges such as curse of dimensionality and insufficient labeled data is inevitable. This paper introduces Iterative Transductive Support Vector Machine (ITSVM). This method which constructs a hyperplane using both training set and working set approximates the optimal solution. Applying proposed algorithm on gene expression datasets show that the proposed method can exploit unlabeled data distribution. In many cases our method improved the accuracy compared to related methods.
Replisome Assembly at Bacterial Chromosomes and Iteron Plasmids

The proper initiation and occurrence of DNA synthesis depends on the formation and rearrangements of nucleoprotein complexes within the origin of DNA replication. In this review article, we present the current knowledge on the molecular mechanism of replication complex assembly at the origin of bacterial chromosome and plasmid replicon containing direct repeats (iterons) within the origin sequence. We describe recent findings on chromosomal and plasmid replication initiators, DnaA and Rep proteins, respectively, and their sequence-specific interactions with double- and single-stranded DNA. Also, we discuss the current understanding of the activities of DnaA and Rep proteins required for replisome assembly that is fundamental to the duplication and stability of genetic information in bacterial cells.
Multi-objective design optimization of the Delthaptic, a new 6-DOF haptic device

The optimization of the geometric parameters of a mechanism according to some desired objectives is an important aspect of design. The paper presents the multi-objective optimization of a new 6DOF haptic device, the Delthaptic. The design requirements are classified into constraints or objectives according to their priority and their assumed influence. It allows to simply formulate the optimization problem by using a Penalty method. An optimal solution is chosen into the resulting Pareto front and geometric parameters are fixed.
Effect of Storage in Distilled Water for Three Months on the Antimicrobial Properties of Poly(methyl methacrylate) Denture Base Material Doped with Inorganic Filler

The colonization of poly(methyl methacrylate) (PMMA) denture base materials by pathogenic microorganisms is a major problem associated with the use of prostheses, and the incorporation of antimicrobial fillers is a method of improving the antimicrobial properties of these materials. Numerous studies have demonstrated the initial in vitro antimicrobial effectiveness of this type of material; however, reports demonstrating the stability of these fillers over longer periods are not available. In this study, silver sodium hydrogen zirconium phosphate was introduced into the powder component of a PMMA denture base material at concentrations of 0.25%, 0.5%, 1%, 2%, 4%, and 8% (w/w). The survival rates of the gram-positive bacterium Staphylococcus aureus, gram-negative bacterium Escherichia coli and yeast-type fungus Candida albicans were established after fungal or bacterial suspensions were incubated with samples that had been previously stored in distilled water. Storage over a three-month period led to the progressive reduction of the initial antimicrobial properties. The results of this study suggest that additional microbiological tests should be conducted for materials that are treated with antimicrobial fillers and intended for long-term use. Future long-term studies of the migration of silver ions from the polymer matrix and the influence of different media on this ion emission are required.
Reducing delay with coding in (mobile) multi-agent information transfer

Coding has traditionally been used at the physical layer in communication networks to prevent and correct errors and erasures incurred in transmission of data. In the past decade, other benefits of coding have been demonstrated, in particular in environments with unpredictable dynamics and limited resources. In this paper, we are concerned with using coding to reduce delay in communications environments as seemingly diverse as mobile, ad hoc, wireless networks and P2P content distribution networks. We show that that delay in different communication scenarios may come from different reasons, but be statistically similar, and can, therefore, be addressed in the same manner by coding.