LLukas22/scidocs huggingface dataset:
EMPLOYEE MOTIVATION AND PERFORMANCE Ultimate Companion Limited Douala-Cameroon

The subject matter of this research; employee motivation and performance seeks to look at how best employees can be motivated in order to achieve high performance within a company or organization. Managers and entrepreneurs must ensure that companies or organizations have a competent personnel that is capable to handle this task. This takes us to the problem question of this research “why is not a sufficient motivation for high performance?” This therefore establishes the fact that money is for high performance but there is need to look at other aspects of motivation which is not necessarily money. Four theories were taken into consideration to give an explanation to the question raised in the problem formulation. These theories include: Maslow’s hierarchy of needs, Herzberg two factor theory, John Adair fifty-fifty theory and Vroom’s expectancy theory. Furthermore, the performance management process as a tool to measure employee performance and company performance. This research equally looked at the various reward systems which could be used by a company. In addition to the above, culture and organizational culture and it influence on employee behaviour within a company was also examined. An empirical study was done at Ultimate Companion Limited which represents the case study of this research work. Interviews and questionnaires were conducted to sample employee and management view on motivation and how it can increase performance at the company. Finally, a comparison of findings with theories, a discussion which raises critical issues on motivation/performance and conclusion constitute the last part of the research. Subject headings, (keywords) Motivation, Performance, Intrinsic, Extrinsic, Incentive, Tangible and Intangible, Reward
Cimetidine for chronic calcifying tendinitis of the shoulder.

BACKGROUND AND OBJECTIVES
Calcium deposits of the shoulder may persist for many years with resulting pain and impairment of mechanical function. The effects of different treatments vary significantly and do not show consistent and reliable long-term results. Cimetidine decreases calcium levels and improves symptoms in patients with hyperparathyroidism. We evaluated cimetidine as a treatment for chronic calcifying tendinitis of the shoulder in patients who did not respond to conservative treatment.


METHODS
Cimetidine, 200 mg twice daily, was given orally for 3 months in 16 patients who did not respond to more than 6 months of conservative treatment. We recorded subjective, functional, and radiologic findings at 1 day before, at 2 weeks after, and at 2 and 3 months after the start of cimetidine. We also performed a follow-up study (4 to 24 months).


RESULTS
After treatment, peak pain score (visual analogue scale: 0 - 100) decreased significantly from 63 +/- 13 to 14 +/- 19 (mean +/- SD, P <.01) and 10 patients (63%) became pain free. Physical impairment was also significantly improved. Calcium deposits disappeared in 9 patients (56%), decreased in 4 patients (25%), and did not change in 3 patients (19%). Follow-up data showed that improvement of symptoms was sustained. No recurrence or enlargement of calcium deposits was observed. Plasma concentrations of calcium and parathyroid hormone did not change significantly.


CONCLUSIONS
Our results indicate that cimetidine is effective in treating chronic calcifying tendinitis of the shoulder; however, the mechanism by which cimetidine improves the symptoms is unknown.
RelEx - Relation extraction using dependency parse trees

MOTIVATION
The discovery of regulatory pathways, signal cascades, metabolic processes or disease models requires knowledge on individual relations like e.g. physical or regulatory interactions between genes and proteins. Most interactions mentioned in the free text of biomedical publications are not yet contained in structured databases.


RESULTS
We developed RelEx, an approach for relation extraction from free text. It is based on natural language preprocessing producing dependency parse trees and applying a small number of simple rules to these trees. We applied RelEx on a comprehensive set of one million MEDLINE abstracts dealing with gene and protein relations and extracted approximately 150,000 relations with an estimated performance of both 80% precision and 80% recall.


AVAILABILITY
The used natural language preprocessing tools are free for use for academic research. Test sets and relation term lists are available from our website (http://www.bio.ifi.lmu.de/publications/RelEx/).
Diverticulitis in transplant patients and patients on chronic corticosteroid therapy: a systematic review.

BACKGROUND
The clinical course of diverticular disease in immunosuppressed patients is widely believed to be more severe than in the general population. In this study we systematically reviewed the literature regarding the epidemiology and clinical course of diverticulitis in immunosuppressed patients. Our goal was to develop recommendations regarding the care of this group of patients.


METHODS
Using PubMed and Web of Knowledge we systematically reviewed all studies published between 1970 and 2009 that analyzed the epidemiology, clinical manifestation, or outcomes of treatment of diverticulitis in immunosuppressed patients. Keywords of "transplantation," "corticosteroid," "HIV," "AIDS," and "chemotherapy" were used.


RESULTS
Twenty-five studies met our inclusion criteria. All of these studies focused on the impact of diverticulitis in patients with transplants or on chronic corticosteroid therapy. The reported incidence of acute diverticulitis in these patients was approximately 1% (variable follow-up periods). Among patients with known diverticular disease the incidence was 8%. Mortality from acute diverticulitis in these patients was 23% when treated surgically and 56% when treated medically. Overall mortality was 25%.


CONCLUSIONS
Our study summarizes evidence that patients with transplants or patients on chronic corticosteroid therapy 1) have a rate of acute diverticulitis that is higher than the baseline population and 2) a mortality rate with acute diverticulitis that is high. Further research is needed to define whether these risks constitute a mandate for screening and prophylactic sigmoid colectomy.
Pores resolving simulation of Darcy flows

A theoretical formulation and corresponding numerical solutions are presented for microscopic fluid flows in porous media with the domain sufficiently large to reproduce integral Darcy scale effects. Pore space geometry and topology influence flow through media, but the difficulty of observing the configurations of real pore spaces limits understanding of their effects. A rigorous direct numerical simulation (DNS) of percolating flows is a formidable task due to intricacies of internal boundaries of the pore space. Representing the grain size distribution by means of repelling body forces in the equations governing fluid motion greatly simplifies computational efforts. An accurate representation of pore-scale geometry requires that within the solid the repelling forces attenuate flow to stagnation in a short time compared to the characteristic time scale of the pore-scale flow. In the computational model this is achieved by adopting an implicit immersed-boundary method with the attenuation time scale smaller than the time step of an explicit fluid model. A series of numerical simulations of the flow through randomly generated media of different porosities show that computational experiments can be equivalent to physical experiments with the added advantage of nearly complete observability. Besides obtaining macroscopic measures of permeability and tortuosity, numerical experiments can shed light on the effect of the pore space structure on bulk properties of Darcy scale flows. 2009 Elsevier Inc. All rights reserved.
Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation

Simultaneous spike-counts of neural populations are typically modeled by a Gaussian distribution. On short time scales, however, this distribution is too restrictive to describe and analyze multivariate distributions of discrete spike-counts. We present an alternative that is based on copulas and can account for arbitrary marginal distributions, including Poisson and negative binomial distributions as well as second and higher-order interactions. We describe maximum likelihood-based procedures for fitting copula-based models to spike-count data, and we derive a so-called flashlight transformation which makes it possible to move the tail dependence of an arbitrary copula into an arbitrary orthant of the multivariate probability distribution. Mixtures of copulas that combine different dependence structures and thereby model different driving processes simultaneously are also introduced. First, we apply copula-based models to populations of integrate-and-fire neurons receiving partially correlated input and show that the best fitting copulas provide information about the functional connectivity of coupled neurons which can be extracted using the flashlight transformation. We then apply the new method to data which were recorded from macaque prefrontal cortex using a multi-tetrode array. We find that copula-based distributions with negative binomial marginals provide an appropriate stochastic model for the multivariate spike-count distributions rather than the multivariate Poisson latent variables distribution and the often used multivariate normal distribution. The dependence structure of these distributions provides evidence for common inhibitory input to all recorded stimulus encoding neurons. Finally, we show that copula-based models can be successfully used to evaluate neural codes, e.g., to characterize stimulus-dependent spike-count distributions with information measures. This demonstrates that copula-based models are not only a versatile class of models for multivariate distributions of spike-counts, but that those models can be exploited to understand functional dependencies.
Intentions in and relations among design drawings

in designing, with the goal of building computational environments that better support designing than those in current use. By diagram we mean a drawing that uses geometric elements to abstractly represent natural and artificial phenomena such as sound and light; building components such as walls and windows; and human behavior such as sight and circulation, as well as territorial boundaries of spaces. In contrast, a sketch is mainly about spatial arrangements of physical elements. Despite these general differences, we do not draw clear-cut distinctions between diagrams and sketches, as a particular drawing may combine the two representations. We describe here two distinct studies of architectural design
Using household survey data to inform policy decisions regarding the delivery of evidence-based parenting interventions.

BACKGROUND
This study used household survey data on the prevalence of child, parent and family variables to establish potential targets for a population-level intervention to strengthen parenting skills in the community. The goals of the intervention include decreasing child conduct problems, increasing parental self-efficacy, use of positive parenting strategies, decreasing coercive parenting and increasing help-seeking, social support and participation in positive parenting programmes.


METHODS
A total of 4010 parents with a child under the age of 12 years completed a statewide telephone survey on parenting.


RESULTS
One in three parents reported that their child had a behavioural or emotional problem in the previous 6 months. Furthermore, 9% of children aged 2-12 years meet criteria for oppositional defiant disorder. Parents who reported their child's behaviour to be difficult were more likely to perceive parenting as a negative experience (i.e. demanding, stressful and depressing). Parents with greatest difficulties were mothers without partners and who had low levels of confidence in their parenting roles. About 20% of parents reported being stressed and 5% reported being depressed in the 2 weeks prior to the survey. Parents with personal adjustment problems had lower levels of parenting confidence and their child was more difficult to manage. Only one in four parents had participated in a parent education programme.


CONCLUSIONS
Implications for the setting of population-level goals and targets for strengthening parenting skills are discussed.
Untangling attention bias modification from emotion: A double-blind randomized experiment with individuals with social anxiety disorder.

BACKGROUND
Uncertainty abounds regarding the putative mechanisms of attention bias modification (ABM). Although early studies showed that ABM reduced anxiety proneness more than control procedures lacking a contingency between cues and probes, recent work suggests that the latter performed just as well as the former did. In this experiment, we investigated a non-emotional mechanism that may play a role in ABM.


METHODS
We randomly assigned 62 individuals with a DSM-IV diagnosis of social anxiety disorder to a single-session of a non-emotional contingency training, non-emotional no-contingency training, or control condition controlling for potential practice effects. Working memory capacity and anxiety reactivity to a speech challenge were assessed before and after training.


RESULTS
Consistent with the hypothesis of a practice effect, the three groups likewise reported indistinguishably significant improvement in self-report and behavioral measures of speech anxiety as well as in working memory. Repeating the speech task twice may have had anxiolytic benefits.


LIMITATIONS
The temporal separation between baseline and post-training assessment as well as the scope of the training sessions could be extended.


CONCLUSIONS
The current findings are at odds with the hypothesis that the presence of visuospatial contingency between non-emotional cues and probes produces anxiolytic benefits. They also show the importance of including a credible additional condition controlling for practice effects.
Building and sustaining profitable customer loyalty for the 21 st century

The concept of customer loyalty is conspicuous by it’s ubiquity. Therefore, there is no surprise that it is one of the most widely studied areas by researchers and one of the most widely implemented marketing initiatives by practitioners. This article draws upon past research to review important findings related to customer behavior and attitude in the context of customer loyalty. Further, research related to linking loyalty to profitability and forward looking metric such as the customer lifetime value is reviewed to propose a conceptual framework for building and sustaining loyalty and profitability simultaneously at individual customer level. A two-tiered rewards structure is presented as a means for marketers to operationalize the framework. The conceptual framework hopes to serve as a platform to understand the evolving dominant logic of loyalty programs for building and sustaining loyalty in the twenty first century as well as induce further research in that direction. © 2004 New York University. Published by Elsevier. All rights reserved.
Investigating the Non-Linear Relationships in the Expectancy Theory: The Case of Crowdsourcing Marketplace

Crowdsourcing marketplace as a new platform for companies or individuals to source ideas or works from the public has become popular in the contemporary world. A key issue about the sustainability of this type of marketplace relies on the effort that problem solvers expend on the online tasks. However, the predictors of effort investment in the crowdsourcing context is rarely investigated. In this study, based on the expectancy theory which suggests the roles of reward valence, trust and self efficacy, we develop a research model to study the factors influencing effort. Further, the non-linear relationships between self efficacy and effort is proposed. Based on a field survey, we found that: (1) reward valence and trust positively influence effort; (2) when task complexity is high, there will be a convex relationship between self efficacy and effort; and (3) when task complexity is low, there will be a concave relationship between self efficacy and effort. Theoretical and practical implications are also discussed.
Sensory ataxia and muscle spindle agenesis in mice lacking the transcription factor Egr3

Muscle spindles are skeletal muscle sensory organs that provide axial and limb position information (proprioception) to the central nervous system. Spindles consist of encapsulated muscle fibers (intrafusal fibers) that are innervated by specialized motor and sensory axons. Although the molecular mechanisms involved in spindle ontogeny are poorly understood, the innervation of a subset of developing myotubes (type I) by peripheral sensory afferents (group Ia) is a critical event for inducing intrafusal fiber differentiation and subsequent spindle formation. The Egr family of zinc-finger transcription factors, whose members include Egr1 (NGFI-A), Egr2 (Krox-20), Egr3 and Egr4 (NGFI-C), are thought to regulate critical genetic programs involved in cellular growth and differentiation (refs 4, 5, 6, 7, 8 and W.G.T. et al., manuscript submitted). Mice deficient in Egr3 were generated by gene targeting and had gait ataxia, increased frequency of perinatal mortality, scoliosis, resting tremors and ptosis. Although extrafusal skeletal muscle fibers appeared normal, Egr3-deficient animals lacked muscle spindles, a finding that is consistent with their profound gait ataxia. Egr3 was highly expressed in developing muscle spindles, but not in Ia afferent neurons or their terminals during developmental periods that coincided with the induction of spindle morphogenesis by sensory afferent axons. These results indicate that type I myotubes are dependent upon Egr3-mediated transcription for proper spindle development.
What is user engagement? A conceptual framework for defining user engagement with technology

The purpose of this article is to critically deconstruct the term engagement as it applies to peoples' experiences with technology. Through an extensive, critical multidisciplinary literature review and exploratory study of users of Web searching, online shopping, Webcasting, and gaming applications, we conceptually and operationally defined engagement. Building on past research, we conducted semistructured interviews with the users of four applications to explore their perception of being engaged with the technology. Results indicate that engagement is a process comprised of four distinct stages: point of engagement, period of sustained engagement, disengagement, and reengagement. Furthermore, the process is characterized by attributes of engagement that pertain to the user, the system, and user-system interaction. We also found evidence of the factors that contribute to nonengagement. Emerging from this research is a definition of engagement—a term not defined consistently in past work—as a quality of user experience characterized by attributes of challenge, positive affect, endurability, aesthetic and sensory appeal, attention, feedback, variety/novelty, interactivity, and perceived user control. This exploratory work provides the foundation for future work to test the conceptual model in various application areas, and to develop methods to measure engaging user experiences. INTRODUCTION In the past few decades, human-computer interaction studies have emphasized the need to move beyond usability to understand and design for more engaging experiences (Hassenzahl & Tractinsky, 2006; Jacques, Preece, & Carey, 1995; Laurel, 1993). A Web interface that is boring, a multimedia presentation that does not captivate users' attention, or an online forum that fails to engender a sense of community are quickly dismissed with a simple mouse click. Failing to engage users equates with no sale on an electronic commerce site and no transmission of information from a Web site; people go elsewhere to perform their tasks and communicate with colleagues and friends. Successful technologies are not just usable; they engage users. Despite the 1 This is the authors’ version of an article published in Journal of the American Society for Information Science & Technology, http://www.asis.org/jasist.html. This version has been updated to reflect changes in the final published version. Complete citation is as follows: O’Brien, H.L. & Toms, E.G. (2008). What is user engagement? A conceptual framework for defining user engagement with technology. Journal of the American Society for Information Science & Technology, 59(6), 938955. DOI: 10.1002/asi.20801.
Neural Autoregressive Flows

Normalizing flows and autoregressive models have been successfully combined to produce state-of-the-art results in density estimation, via Masked Autoregressive Flows (MAF) (Papamakarios et al., 2017), and to accelerate stateof-the-art WaveNet-based speech synthesis to 20x faster than real-time (Oord et al., 2017), via Inverse Autoregressive Flows (IAF) (Kingma et al., 2016). We unify and generalize these approaches, replacing the (conditionally) affine univariate transformations of MAF/IAF with a more general class of invertible univariate transformations expressed as monotonic neural networks. We demonstrate that the proposed neural autoregressive flows (NAF) are universal approximators for continuous probability distributions, and their greater expressivity allows them to better capture multimodal target distributions. Experimentally, NAF yields state-of-the-art performance on a suite of density estimation tasks and outperforms IAF in variational autoencoders trained on binarized MNIST. 1
Health App Use Among US Mobile Phone Owners: A National Survey

BACKGROUND
Mobile phone health apps may now seem to be ubiquitous, yet much remains unknown with regard to their usage. Information is limited with regard to important metrics, including the percentage of the population that uses health apps, reasons for adoption/nonadoption, and reasons for noncontinuance of use.


OBJECTIVE
The purpose of this study was to examine health app use among mobile phone owners in the United States.


METHODS
We conducted a cross-sectional survey of 1604 mobile phone users throughout the United States. The 36-item survey assessed sociodemographic characteristics, history of and reasons for health app use/nonuse, perceived effectiveness of health apps, reasons for stopping use, and general health status.


RESULTS
A little over half (934/1604, 58.23%) of mobile phone users had downloaded a health-related mobile app. Fitness and nutrition were the most common categories of health apps used, with most respondents using them at least daily. Common reasons for not having downloaded apps were lack of interest, cost, and concern about apps collecting their data. Individuals more likely to use health apps tended to be younger, have higher incomes, be more educated, be Latino/Hispanic, and have a body mass index (BMI) in the obese range (all P<.05). Cost was a significant concern among respondents, with a large proportion indicating that they would not pay anything for a health app. Interestingly, among those who had downloaded health apps, trust in their accuracy and data safety was quite high, and most felt that the apps had improved their health. About half of the respondents (427/934, 45.7%) had stopped using some health apps, primarily due to high data entry burden, loss of interest, and hidden costs.


CONCLUSIONS
These findings suggest that while many individuals use health apps, a substantial proportion of the population does not, and that even among those who use health apps, many stop using them. These data suggest that app developers need to better address consumer concerns, such as cost and high data entry burden, and that clinical trials are necessary to test the efficacy of health apps to broaden their appeal and adoption.