Understanding the Bloggers’ Continuance Usage: Integrating Flow into the Expectation-Confirmation Theory Information System Model

Blogs are very popular nowadays. Many big website portals, such as Yahoo Blog, PC home Blog, try to offer different functions and personal services to attract the potential users to be their Blog member, because this will bring more advertising income. For the portals, how to obtain users to continue use is very important to survival. Most previous articles focused on investigating system function and information quality issues on Blogs, but these technologies are very steady already. There are fewer studies to discuss the users’ flow experience on using Blogs. The aim of this study investigated whether the users’ flow experience affected the Bloggers’ satisfaction and intention to continue using. 303 Bloggers were surveyed online. The research findings indicated that confirmation, perceived usefulness, flow, challenge, and arousal were positively affected to the Bloggers’ satisfaction in using that Blog; perceived usefulness, satisfaction, flow were also positively influenced to the Bloggers’ intention to continue using. In addition, the findings point out that the flow factors which we extend into ECTIS model weak positively influence satisfaction. The higher satisfaction users have, the more are continuance intention users get. Recommendations are given on how to make the Bloggers continue using Blogs for the service providers

Modeling the Combined Effects of River Stage and Groundwater Flow on Riverbank Stability Before and After Dam Removal

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

Assessing the Effects of Acupuncture by Comparing Needling the Hegu Acupoint and Needling Nearby Nonacupoints by Spectral Analysis of Microcirculatory Laser Doppler Signals

We aimed to assess the effects of acupuncture by analyzing the frequency content of skin blood-flow signals simultaneously recorded at the Hegu acupoint and two nearby nonacupoints following acupuncture stimulation (AS). Laser Doppler flowmetry (LDF) signals were measured in male healthy volunteers in two groups of experiments: needling the Hegu acupoint (n = 13) and needling a nearby nonacupoint (control experiment; n = 10). Each experiment involved recording a 20 min baseline-data sequence and two sets of effects data recorded 0–20 and 50–70 min after stopping AS. Wavelet transform with Morlet mother wavelet was applied to the measured LDF signals. Needling the Hegu acupoint significantly increased the blood flow, significantly decreased the relative energy contribution at 0.02–0.06 Hz and significantly increased the relative energy contribution at 0.4–1.6 Hz at Hegu, but induced no significant changes at the nonacupoints. Also, needling a nearby nonacupoint had no effect in any band at any site. This is the first time that spectral analysis has been used to investigate the microcirculatory blood-flow responses induced by AS, and has revealed possible differences in sympathetic nerve activities between needling the Hegu acupoint and its nearby nonacupoint. One possible weakness of the present design is that different De-Qi feelings following AS could lead to nonblind experimental setup, which may bias the comparison between needling Hegu and its nearby nonacupoint. Our results suggest that the described noninvasive method can be used to evaluate sympathetic control of peripheral vascular activity, which might be useful for studying the therapeutic effects of AS

Distinguishing between fake news and satire with transformers

Indiscriminate elimination of harmful fake news risks destroying satirical news, which can be benign or even beneficial, because both types of news share highly similar textual cues. In this work we applied a recent development in neural network architecture, transformers, to the task of separating satirical news from fake news. Transformers have hitherto not been applied to this specific problem. Our evaluation results on a publicly available and carefully curated dataset show that the performance from a classifier framework built around a DistilBERT architecture performed better than existing machine-learning approaches. Additional improvement over baseline DistilBERT was achieved through the use of non-standard tokenization schemes as well as varying the pre-training and text pre-processing strategies. The improvement over existing approaches stands at 0.0429 (5.2%) in F1 and 0.0522 (6.4%) in accuracy. Further evaluation on two additional datasets shows our framework\u27s ability to generalize across datasets without diminished performance

The study on SFLAB GanedenBC30 viability on baking products during storage

AbstractFor understanding Bacillus coagulans, GanedenBC30 was used in different ways to added in raw dough and examine their viability after baking. Eight different baking products: (1) chrysanthemum cookies, (2) egg pastry cakes, (3) mooncakes, (4) muffins, (5) polo breads, (6) soda cookies, (7) sponge cakes, and (8) toasts were made from 0.5% GanedenBC30 added to their dough in two ways: (a) flour powder or (b) egg yolk. Then the (a) pH value, (b) titratable acidity, (c) GanedenBC30 counts, and (d) viability GanedenBC30 of eight different baking products were determined after storing at 4oC for 0, 3, 6, 9, 12, 15 days, or 25oC for 0, 3, 6 days. The eight types of raw dough had relatively lower pH values and rise after baking. The titratable acidity of the eight types of dough was relatively higher, and declined after baking. However, the pH value and titratable acidity of the eight baking products remained the same after 9 days at 4oC. On the other hand, the GanedenBC30 counts in the eight baking products were less than their raw dough GanedenBC30 levels. For storage at both 4 and 25oC, the results show the GanedenBC30 viability of baking products decreased with storage days. The dough made by flour powder and baking showed higher GanedenBC30 viability than by egg yolk. GanedenBC30 are good candidates for baking product use, both in lactic acid production and probiotic preparations