Miracle-dz/UniFAR-FTUs huggingface dataset:
An Aspirational View of Organizational Control Research: Re-invigorating Empirical Work to Better Meet the Challenges of 21st Century Organizations

Organizational control is a key managerial function, and the focus of a great deal of research in the management and organizations field. Our concern is that research has not kept pace with changes in contemporary organizations and the external environment. In response to this concern, we review extant empirical work on organizational control with an emphasis on the consequences of control (i.e., the control-outcome linkage). As part of our analytical process, we surface theories underlying existing control frameworks used in empirical research and identify key dimensions implied by the frameworks. The three dimensions of control formality, control coerciveness, and control singularity map onto traditional vs. more current issues in and around organizations, and therefore prove helpful in assessing the existing research stream. Based on our review, we show how control-outcome research has in fact reached a troublesome point in its evolution, particularly concerning quantitative research. Older frameworks, theories, and issues seem to have limited theorizing that better fits today9s realities, and several empirical tactics appear to be negatively affecting quantitative work. We close with actionable suggestions for an area of scholarship that continues to have great potential.
Nondestructive Estimation of Moisture Content, pH and Soluble Solid Contents in Intact Tomatoes Using Hyperspectral Imaging

The objective of this study was to develop a nondestructive method to evaluate chemical components such as moisture content (MC), pH, and soluble solid content (SSC) in intact tomatoes by using hyperspectral imaging in the range of 1000–1550 nm. The mean spectra of the 95 matured tomato samples were extracted from the hyperspectral images, and multivariate calibration models were built by using partial least squares (PLS) regression with different preprocessing spectra. The results showed that the regression model developed by PLS regression based on Savitzky–Golay (S–G) first-derivative preprocessed spectra resulted in better performance for MC, pH, and the smoothing preprocessed spectra-based model resulted in better performance for SSC in intact tomatoes compared to models developed by other preprocessing methods, with correlation coefficients (rpred) of 0.81, 0.69, and 0.74 with root mean square error of prediction (RMSEP) of 0.63%, 0.06, and 0.33% Brix respectively. The full wavelengths were used to create chemical images by applying regression coefficients resulting from the best PLS regression model. These results obtained from this study clearly revealed that hyperspectral imaging, together with suitable analysis model, is a promising technology for the nondestructive prediction of chemical components in intact tomatoes.
Assessing the Readiness of Internet-Based IOS and Evaluating Its Impact on Adoption

This study explores the readiness factors for the adoption of Internet-based inter-organizational systems (IOS) via a case analysis of fifteen Taiwanese firms. By proposing a three-dimension readiness model (readiness of firm, readiness of partners, and readiness of collaborative relationships), this study extends previous work of IOS adoption to identify critical readiness factors for Internet-based IOS adoption and examines the impacts of these readiness factors on different types of Internet-based IOS adoption, in terms of simple web-based IOS adoption, EOI (EDI on the Internet) adoption, and RosettaNet-based IOS adoption. Three findings are shown in this study: (1) The readiness of firm is an essential condition for all cases, and cases of simple web-based IOS adopters place more focus on firm readiness than other readiness dimensions; (2) EOI adopters places most emphasis on partner readiness, and (3) for the cases of RosettaNet adopters, collaborative relationships is more important than firm readiness and partner readiness.
The relationship between horse-client personality similarity, attachment, and therapeutic outcome in equine-assisted activities and therapies

THE RELATIONSHIP BETWEEN HORSE-CLIENT PERSONALITY SIMILARITY, ATTACHMENT, AND THERAPEUTIC OUTCOME IN EQUINE-ASSISTED ACTIVITIES AND THERAPIES This study, guided by attachment theory, examines the role of horse-client personality similarity in the context of Equine Assisted Activities and Therapies (EAAT), and its relationship to the client-horse attachment bond and therapeutic outcome. Parents (N = 32) of clients receiving some form of EAAT completed surveys designed to measure the client’s personality, attachment to a specific horse, and therapeutic outcome. Additionally, three individuals from the organizations providing the EAAT completed surveys designed to measure the horse’s personality. Data were analyzed to test two hypotheses: (1) greater horseclient personality similarity will be positively associated with a more secure client attachment to the horse; and (2) greater horse-client personality similarity will be positively associated with greater perceived therapeutic outcomes. A significant correlation was found between overall client-horse personality similarity and the client’s attachment to the horse. No significant correlations were found between client-horse personality similarity and therapeutic outcome. The results are discussed in terms of their implications to the field of social work and EAAT, along with the limitations and recommendations for future research. Laura Jean Dinges May 2015 THE RELATIONSHIP BETWEEN HORSE-CLIENT PERSONALITY SIMILARITY, ATTACHMENT, AND THERAPEUTIC OUTCOME IN EQUINE-ASSISTED ACTIVITIES AND THERAPIES by Laura Jean Dinges A thesis submitted in partial fulfillment of the requirements for the degree of Master of Social Work in the College of Health and Human Services California State University, Fresno May 2015
Hypodontia. Does the Prevalence and Distribution Pattern Differ in Orthodontic Patients?

Objective The aim of this study was to document the prevalence of hypodontia in the permanent dentition among a group of Turkish sample who sought orthodontic treatment and to compare present results with the specific findings of other populations. The occurrence was evaluated in relation to gender, specific missing teeth, the location and pattern of distribution in the maxillary and mandibular arches and right and left sides. Materials And Methods Orthodontic files of 2413 patients (1557 females-mean age: 17.78±5.41 years old and 856 males-mean age:17.02±5.47 years old) which included orthopantomograms, study models, and anamnestic data were examined for evidence of hypodontia. Results The prevalence of hypodontia was 7.54% (8.09% for female and 6.54% for male). Hypodontia was found considerably more frequently in the maxilla than in the mandible. Similarity in the distribution of missing teeth between the right and left sides was detected. The most frequently missing teeth were the maxillary lateral incisors, followed by the mandibular and maxillary second premolars. The majority of patients had one or two teeth missing, but seldom three or more. Conclusions Present data for hypodontia were within the wide range reported in the literature. The findings of patients with hypodontia involving the anterior teeth and others missing more than two teeth in the same quadrant were an indication of a great need for orthodontic treatment. By early detection of missing teeth, alternative treatment modalities can be planned and performed with a multidisciplinary team approach.
Neurological Complications of Infective Endocarditis

drug is still a heroic measure. The administration of specific antibody might even be harmful. This report underlines once again how ill equipped we still are to treat viral infections. It also reminds us that there is as much clinical virology within hospital walls as there is outside them. Furthermore, as any clinical virologist in a general hospital could confirm, there seems to be at least as much for virologists to do in the surgical wards as in the medical ones.
The nonideological component of coalition preferences

Recent research on political attitudes has emphasized that coalition preferences determine electoral choices, prompting scholars to investigate the sources of coalition preferences. While it is not surprising that coalition preferences are strongly informed by spatial considerations, several studies have drawn attention to additional nonideological factors. Relying on this insight, the present study aims to systematically investigate the nonideological or valence component of coalition preferences. In order to decompose attitudes into their principal ideological and nonideological components, we apply a Bayesian unfolding model to coalition sympathy ratings. We find that coalitions differ strongly with regard to their valence component. This surplus cannot be reconstructed as a linear combination of the coalitions’ constituent party valences and is predominantly structured by campaign valence.
Modelling the effect of pupil mobility on school differences in educational achievement

Summary. The recently introduced national pupil database in England allows the tracking of every child through the compulsory phases of the state education system. The data from key stage 2 for three local education authorities are studied, following cohorts of pupils through their schooling. The mobility of pupils among schools is studied in detail by using multiple‐membership multilevel models that include prior achievement and other predictors and the results are compared with traditional ‘value‐added’ approaches that ignore pupil mobility. The analysis also includes a cross‐classification of junior and infant schools attended. The results suggest that some existing conclusions about schooling effects may need to be revised.
The economic burden of dementia in China, 1990–2030: implications for health policy

Abstract Objective To quantify and predict the economic burden of dementia in China for the periods 1990–2010 and 2020–2030, respectively, and discuss the potential implications for national public health policy. Methods Using a societal, prevalence-based, gross cost-of-illness approach and data from multiple sources, we estimated or predicted total annual economic costs of dementia in China. We included direct medical costs in outpatient and inpatient settings, direct non-medical costs – e.g. the costs of transportation – and indirect costs due to loss of productivity. We excluded comorbidity-related costs. Findings The estimated total annual costs of dementia in China increased from 0.9 billion United States dollars (US$) in 1990 to US$ 47.2 billion in 2010 and were predicted to reach US$ 69.0 billion in 2020 and US$ 114.2 billion in 2030. The costs of informal care accounted for 94.4%, 92.9% and 81.3% of the total estimated costs in 1990, 2000 and 2010, respectively. In China, population ageing and the increasing prevalence of dementia were the main drivers for the increasing predicted costs of dementia between 2010 and 2020, and population ageing was the major factor contributing to the growth of dementia costs between 2020 and 2030. Conclusion In China, demographic and epidemiological transitions have driven the growth observed in the economic costs of dementia since the 1990s. If the future costs of dementia are to be reduced, China needs a nationwide dementia action plan to develop an integrated health and social care system and to promote primary and secondary prevention.
de octubre de 2007 DYNAMIC MODEL BASED PREDICTIVE CONTROL FOR MOBILE ROBOTS

A nonlinear predictive controller (NMPC) is developed to control a unicycle-like mobile robot for trajectory tracking. Dynamic model of PIONNER 3-DX mobile robot is used, where external forces and wheels sliding have been considered. Restrictions on control actions and system states are also considered. Simulations results at both tracking and regulation (positioning) are shown, these results show the good performance of developed controller. Finally, this paper shows that the controller can be implemented in real-time by using an analysis of compute times of NMPC algorithm. Key words– mobile robot, predictive nonlinear control (NMPC), trajectory tracking, dynamic model
A Study of the Luminosity and Mass Functions of the Young IC 348 Cluster Using FLAMINGOS Wide-Field Near-Infrared Images

We present wide-field near-infrared (JHK) images of the young, τ = 2 Myr IC 348 cluster taken with FLAMINGOS. We use these new data to construct an infrared census of sources, which is sensitive enough to detect a 10 ℳJup brown dwarf seen through an extinction of AV ∼ 7. We examine the cluster's structure and relationship to the molecular cloud and to construct the cluster's K-band luminosity function. Using our model luminosity function algorithm, we derive the cluster's initial mass function (IMF) throughout the stellar and substellar regimes and find that the IC 348 IMF is very similar to that found for the Trapezium cluster, with both cluster IMFs having a mode between 0.2–0.08 ℳ⊙. In particular, we find that, similar to our results for the Trapezium, brown dwarfs constitute only one in four of the sources in the IC 348 cluster. We show that a modest secondary peak forms in the substellar IC 348 K-band luminosity function (KLF), corresponding to the same mass range responsible for a similar KLF peak found in the Trapezium. We interpret this KLF peak as either evidence for a corresponding secondary IMF peak at the deuterium burning limit or as arising from a feature in the substellar mass-luminosity relation that is not predicted by current theoretical models. Finally, we find that IC 348 displays radial variations of its subsolar (0.5–0.08 ℳ⊙) IMF on a parsec scale. Whatever mechanism that is breaking the universality of the IMF on small spatial scales in IC 348 does not appear to be acting on the brown dwarf population, whose relative size does not vary with distance from the cluster center.
A Green’s Function Molecular Dynamics Approach to the Mechanical Contact between Thin Elastic Sheets and Randomly Rough Surfaces

Adhesion of biological systems is often made possible through thin elastic layers, such as human skin. To address the question of when a layer is sufficiently thin to become adhesive, we extended Green’s function molecular dynamics (GFMD) to account for the finite thickness of an elastic body that is supported by a fluid foundation. We observed that thin layers can much better accommodate rough counterfaces than thick structures. As a result, the contact area is enlarged, in particular, when the width of the layer w approaches or even falls below the short-wavelength cutoff λs of the surface spectra. In the latter case, the proportionality coefficient between area and load scales is (w/λs)3, which is consistent with Persson’s contact mechanics theory.
Factors effecting destination and event loyalty: examining the sustainability of a recurrent small-scale running event at Banff National Park

ABSTRACT An important form of economic sustainability for tourism businesses is customer loyalty. Using a sample of 387 active sport tourists, factors that influence destination and event tourism loyalty are reported on in this paper. Thirty-six per cent of destination loyalty’s variance was explained – operationalized as intentions of active sport tourists to revisit and recommend Banff National Park (NP). Thirty-one per cent of event loyalty’s variance was explained – operationalized as participation in future offerings of an annual small-scale running race, Melissa’s Road Race, located in the park. Destination loyalty was directly and positively predicted by park attachment and indirectly influenced by event attachment, followed by nature-related travel motives, frequency of visits to the park and history of engagement in the race. Event loyalty was directly and positively predicted by event attachment and racers’ views regarding the appropriateness of Banff NP as a race context and indirectly by history of race participation. Running travel motives, perceived value of park entry and event fees failed to predict loyalty intentions. Two models were used to explore the ‘correct’ conceptualization of relationships between event attachment and park attachment. The model that depicted event attachment as an antecedent to park attachment demonstrated better fit with the data, and thus suggests support for the proposition that attachments which develop for special events may in turn support the development of destination attachment.
Hand Gesture Recognition Using PCA

: Interacting with physical world using expressive body movements is much easier and effective than just speaking. Gesture recognition turns up to be important field in the recent years. Communication through gestures has been used since early ages not only by physically challenged persons but nowadays for many other applications. As most predominantly hand is use to perform gestures, Hand Gesture Recognition have been widely accepted for numerous applications such as human computer interactions, robotics, sign language recognition, etc. This paper focuses on bare hand gesture recognition system by proposing a scheme using a database-driven hand gesture recognition based upon skin color model approach and thresholding approach along with an effective template matching with can be effectively used for human robotics applications and similar other applications. Initially, hand region is segmented by applying skin color model in YCbCr color space. In the next stage otsu thresholding is applied to separate foreground and background. Finally, template based matching technique is developed using Principal Component Analysis (PCA) for recognition. The system is tested with the controlled and uncontrolled database and shows 100% accuracy with controlled database and 91.43% with low brightness images.
International Journal of Service Industry Management Emerald Article : The business value of e-government for small firms

Purpose – To propose and test a model about the business value of government electronic services (e-government) to small firms. Two dimensions of e-government use (search-oriented and transaction-oriented) are measured and the effects of three types of e-government benefits on small firms’ profitability are tested. Design/methodology/approach – Survey of 100 small firms in three states of the USA (Maryland, New York, and Washington). Findings – Small firms’ information technology capabilities are positively associated with the use of e-government services. Search-oriented use of e-government is positively related to enhanced intelligence generation, new business development, and time savings. The relationship between use of e-government and profitability is mediated by firms’ intelligence generation. Research limitations/implications – The study uses self-reported data and was based on a sample of firms from three states of the USA. Thus results are limited by the specificity of this geographic context. Practical implications – Small firms should use e-government as an information source to enhance their market intelligence and build revenues. IT suppliers should emphasize e-government services that link small firms to customers and collaborators, and facilitate access to key information resources. Government agencies should enhance their e-government information services to improve small business performance and increase tax receipts. Originality/value – The paper provides empirical evidence about the positive effect of use of e-government services on the financial performance of small firms.
From Children to Adults: Motor Performance across the Life-Span

The life-span approach to development provides a theoretical framework to examine the general principles of life-long development. This study aims to investigate motor performance across the life span. It also aims to investigate if the correlations between motor tasks increase with aging. A cross-sectional design was used to describe the effects of aging on motor performance across age groups representing individuals from childhood to young adult to old age. Five different motor tasks were used to study changes in motor performance within 338 participants (7–79 yrs). Results showed that motor performance increases from childhood (7–9) to young adulthood (19–25) and decreases from young adulthood (19–25) to old age (66–80). These results are mirroring results from cognitive research. Correlation increased with increasing age between two fine motor tasks and two gross motor tasks. We suggest that the findings might be explained, in part, by the structural changes that have been reported to occur in the developing and aging brain and that the theory of Neural Darwinism can be used as a framework to explain why these changes occur.
Social Loss Aversion and Optimal Contest Design

When managers are designing a contest to motivate effort by salespeople, service employees, franchisees, or product development teams, a key question is, What should the optimal proportion of winners and losers be? Prevailing marketing theory predicts that the proportion of winners in a contest should always be lower than the proportion of losers. Not only has this theory not been empirically tested, but it is also based on the assumption that contestants care solely about the value of the prizes they receive. This self-interested assumption has been increasingly challenged in marketing and economics. This article uses a behavioral economics model to formalize the idea that if contestants also care about their contest outcomes relative to other contestants, changing the proportion of winners in a contest can alter the reference points contestants use to make these social comparisons. Consequently, a contest with a higher proportion of winners than losers can yield greater effort than one with fewer winners than losers if the degree of social loss aversion in the contestants is sufficiently strong. Two incentive-aligned experiments show that this prediction can be valid in situations with public announcements of contest outcomes.
A Comprehensive Tutorial on Software Defined Network: The Driving Force for the Future Internet Technology

These days the usage of network is growing at a faster pace, at the same time a lot of challenges is facing by the network administrator, to tackle the frequent network access by the users. The network infrastructure is growing rapidly to meet the business need, but it requires re-policing and reconfiguration of the network. But managing the underlying infrastructure becomes more complicated to handle the unprecedented network demand. The Software Defined Network (SDN), is the next generation Internet technology, which not only solves the ossification of the Internet, but also creates innovations and simplifies the network management. The key idea behind SDN is separation of control plane from the data plane, as a result, devices in the data plane simple becomes the forwarding device and transfer all the decision-making activities in a centralized system called a controller. Among many, OpenFlow is the standard and most popular SDN protocol that interacts between controller and forwarding devices. In this article, we will give an overview of the basic architecture of SDN and OpenFlow, SDN-controller interaction and benefits of SDN.