Factors determining the behavior and effectiveness of personal decision support systems users: An examination of Fishbein\u27s model

Personal computing, and the microcomputer which support it, are referred to as Personal Decision Support Systems (PDSS) (Lehman, 1985). Empirical studies regarding personal computing have been of the general field study type, primarily examining trends and/or establishing the basic concept of personal computing. This research builds and empirically tests a research model that conceptualizes some impact variables which are internal to the user, as intervening in the relationship between the situational or external variables identified by previous MIS research and system success (utilization, decision performance, and satisfaction). This study employs a framework, based on Fishbein and Ajzen\u27s intention-behavior model (1975), to integrate variables indicated to be important by previous findings in MIS studies, and to provide a micro-description of how those variables affect success of personal DSS. The conceptual model consists of six independent variables (users\u27 experience and education, enduser tools, end-user support, end-user training, task fepetitiveness, and task analyzability) and their impact on three intermediate variables (attitude, intention, and actual usage) and one dependent variable (user satisfaction). j The methodology employed in this study involves a two-phased cross-sectional field survey of personal DSS users in seven large organizations. To examine the mechanisms by which the independent and intermediate variables affect success, eight hypotheses were investigated using stepwise multiple regression analysis. Three hypotheses were supported. Although the study failed to shed light on how the determinants a//ecf success, it co^irmed the underlying conceptual framework of Fishbein\u27s model

Strategic Implications of the Open-Market Paradigm Under Digital Convergence: The Case of Small Business C2C

This article presents the open-market paradigm in the context of digital convergence and proposes strategic directions for open-market participants. Although not a new phenomenon, open market has become the most popular e-business model, linking millions of buyer and seller individuals (Customer to Customer: C2C). This article examines the drivers of digital convergence that enable the open-market paradigm and conducts industry and Blue Ocean analyses for open-market business. Finally, a real-world application – the Cyworld market of Korea – is presented as an illustrative example

Spatial analysis of Cdc42 activity reveals a role for plasma membrane–associated Cdc42 in centrosome regulation

The ability of the small GTPase Cdc42 to regulate diverse cellular processes depends on tight spatial control of its activity. Cdc42 function is best understood at the plasma membrane (PM), where it regulates cytoskeletal organization and cell polarization. Active Cdc42 has also been detected at the Golgi, but its role and regulation at this organelle are only partially understood. Here we analyze the spatial distribution of Cdc42 activity by moni­toring the dynamics of the Cdc42 FLARE biosensor using the phasor approach to FLIM-FRET. Phasor analysis revealed that Cdc42 is active at all Golgi cisternae and that this activity is controlled by Tuba and ARHGAP10, two Golgi-associated Cdc42 regulators. To our surprise, FGD1, another Cdc42 GEF at the Golgi, was not required for Cdc42 regulation at the Golgi, although its depletion decreased Cdc42 activity at the PM. Similarly, changes in Golgi morphology did not affect Cdc42 activity at the Golgi but were associated with a substantial reduction in PM-associated Cdc42 activity. Of interest, cells with reduced Cdc42 activity at the PM displayed altered centrosome morphology, suggesting that centrosome regulation may be mediated by active Cdc42 at the PM. Our study describes a novel quantitative approach to determine Cdc42 activity at specific subcellular locations and reveals new regulatory principles and functions of this small GTPase

Novel Mechanisms of Cell Uptake in Lipid-Mediated Gene Delivery

The mechanism of cell uptake in lipid mediated gene delivery was investigated in NIH3T3 and CHO cell lines. We show that different endocytic pathways are activated by shape coupling between lipoplex and membrane lipids. Our results suggest that tailoring the lipoplex lipid composition to the patchwork-like plasma membrane profile could be a successful machinery of coordinating the endocytic pathway activities and the subsequent intracellular processing. Transfection experiments performed at 4C, when endocytosis does not take place, show that a novel class of highly efficient multicomponent lipoplexes enter cells by a temperature-independent fusion-like mechanism. In vivo, plasma proteins bind to lipoplex surface and create a rich ‘protein corona’ that is recognized by cells and other biological structures. The ‘protein corona’ associated to lipoplexes after interaction with human plasma was found to be much richer in basic immunoglobulins gamma proteins (Ig-Gs) than that of pure lipid vesicles in the absence of DNA. Because surface properties of lipoplexes may determine their interaction with cells and tissues, an accurate knowledge of lipoplex surface properties may be important for predicting biological responses. These findings also suggest the existence of hybrid structures made of multilamellar complexes either stuck together by DNA or coexisting with DNA loaded intact vesicles

Development and Validation of the Behavioral Tendencies Questionnaire

At a fundamental level, taxonomy of behavior and behavioral tendencies can be described in terms of approach, avoid, or equivocate (i.e., neither approach nor avoid). While there are numerous theories of personality, temperament, and character, few seem to take advantage of parsimonious taxonomy. The present study sought to implement this taxonomy by creating a questionnaire based on a categorization of behavioral temperaments/tendencies first identified in Buddhist accounts over fifteen hundred years ago. Items were developed using historical and contemporary texts of the behavioral temperaments, described as “Greedy/Faithful”, “Aversive/Discerning”, and “Deluded/Speculative”. To both maintain this categorical typology and benefit from the advantageous properties of forced-choice response format (e.g., reduction of response biases), binary pairwise preferences for items were modeled using Latent Class Analysis (LCA). One sample (n1 = 394) was used to estimate the item parameters, and the second sample (n2 = 504) was used to classify the participants using the established parameters and cross-validate the classification against multiple other measures. The cross-validated measure exhibited good nomothetic span (construct-consistent relationships with related measures) that seemed to corroborate the ideas present in the original Buddhist source documents. The final 13-block questionnaire created from the best performing items (the Behavioral Tendencies Questionnaire or BTQ) is a psychometrically valid questionnaire that is historically consistent, based in behavioral tendencies, and promises practical and clinical utility particularly in settings that teach and study meditation practices such as Mindfulness Based Stress Reduction (MBSR)

Spatial analysis of Cdc42 activity reveals a role for plasma membrane–associated Cdc42 in centrosome regulation

The ability of the small GTPase Cdc42 to regulate diverse cellular processes depends on tight spatial control of its activity. Cdc42 function is best understood at the plasma membrane (PM), where it regulates cytoskeletal organization and cell polarization. Active Cdc42 has also been detected at the Golgi, but its role and regulation at this organelle are only partially understood. Here we analyze the spatial distribution of Cdc42 activity by monitoring the dynamics of the Cdc42 FLARE biosensor using the phasor approach to FLIM-FRET. Phasor analysis revealed that Cdc42 is active at all Golgi cisternae and that this activity is controlled by Tuba and ARHGAP10, two Golgi-associated Cdc42 regulators. To our surprise, FGD1, another Cdc42 GEF at the Golgi, was not required for Cdc42 regulation at the Golgi, although its depletion decreased Cdc42 activity at the PM. Similarly, changes in Golgi morphology did not affect Cdc42 activity at the Golgi but were associated with a substantial reduction in PM-associated Cdc42 activity. Of interest, cells with reduced Cdc42 activity at the PM displayed altered centrosome morphology, suggesting that centrosome regulation may be mediated by active Cdc42 at the PM. Our study describes a novel quantitative approach to determine Cdc42 activity at specific subcellular locations and reveals new regulatory principles and functions of this small GTPase

The inner centromere is a biomolecular condensate scaffolded by the chromosomal passenger complex.

The inner centromere is a region on every mitotic chromosome that enables specific biochemical reactions that underlie properties, such as the maintenance of cohesion, the regulation of kinetochores and the assembly of specialized chromatin, that can resist microtubule pulling forces. The chromosomal passenger complex (CPC) is abundantly localized to the inner centromeres and it is unclear whether it is involved in non-kinase activities that contribute to the generation of these unique chromatin properties. We find that the borealin subunit of the CPC drives phase separation of the CPC in vitro at concentrations that are below those found on the inner centromere. We also provide strong evidence that the CPC exists in a phase-separated state at the inner centromere. CPC phase separation is required for its inner-centromere localization and function during mitosis. We suggest that the CPC combines phase separation, kinase and histone code-reading activities to enable the formation of a chromatin body with unique biochemical activities at the inner centromere

A Bayesian method for inferring quantitative information from FRET data

<p>Abstract</p> <p>Background</p> <p>Understanding biological networks requires identifying their elementary protein interactions and establishing the timing and strength of those interactions. Fluorescence microscopy and Förster resonance energy transfer (FRET) have the potential to reveal such information because they allow molecular interactions to be monitored in living cells, but it is unclear how best to analyze FRET data. Existing techniques differ in assumptions, manipulations of data and the quantities they derive. To address this variation, we have developed a versatile Bayesian analysis based on clear assumptions and systematic statistics.</p> <p>Results</p> <p>Our algorithm infers values of the FRET efficiency and dissociation constant, <it>K_d</it>, between a pair of fluorescently tagged proteins. It gives a posterior probability distribution for these parameters, conveying more extensive information than single-value estimates can. The width and shape of the distribution reflects the reliability of the estimate and we used simulated data to determine how measurement noise, data quantity and fluorophore concentrations affect the inference. We are able to show why varying concentrations of donors and acceptors is necessary for estimating <it>K_d</it>. We further demonstrate that the inference improves if additional knowledge is available, for example of the FRET efficiency, which could be obtained from separate fluorescence lifetime measurements.</p> <p>Conclusions</p> <p>We present a general, systematic approach for extracting quantitative information on molecular interactions from FRET data. Our method yields both an estimate of the dissociation constant and the uncertainty associated with that estimate. The information produced by our algorithm can help design optimal experiments and is fundamental for developing mathematical models of biochemical networks.</p