Obesity is associated with non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC). Obesity and metabolic abnormalities resulting in low-grade inflammation can increase the risk of developing NASH and ...
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Obesity is associated with non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma (HCC). Obesity and metabolic abnormalities resulting in low-grade inflammation can increase the risk of developing NASH and HCC. NASH, a risk factor for HCC, is characterized by increased inflammation, lipid accumulation, and liver injury. Obesogenic proteins modulate signaling pathways that induce physiological changes including lipogenesis, ROS, and inflammation. Silibinin, a polyphenol in milk thistle seed, has been shown to have anti-inflammatory properties. Studies have yet to determine whether silibinin can be used to dissect the obesity-cancer link to delay progression of liver cancer. Using an in vitro model, sera from obese (OB), overweight (OW), or normal weight (NW) males (based on BMI) were used to determine the efficacy of silibinin to reduce the pro-tumorigenic properties of obesity. HepG2 cells were exposed to OB, OW, NW +/- silibinin and tested for growth, ROS, lipogenesis, MMP-9, invasion and protein expression. Silibinin suppressed obesity-induced growth, ROS, lipogenesis, MMP-9, and cell invasion. These physiological changes corresponded with decreased FASN, IL-6, IL-1B, and phosphorylated Erk. We describe the differential effect of sera from OB, OW, and NW males on characteristics relevant for liver cancer and the potential use of silibinin to mitigate these effects.
Nowadays, people spend more and more time with their smart-phones. They want to make good use of smartphones to achieve an efficient time management. However, many people fail to control the time spent on smartphones ...
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ISBN:
(纸本)9781450359528
Nowadays, people spend more and more time with their smart-phones. They want to make good use of smartphones to achieve an efficient time management. However, many people fail to control the time spent on smartphones effectively and end up with a low task completion rate. We design a time management APP targeted to analyze the time management task completion. In this way, a clear picture of the reasons for a low task completion rate is drawn by us, which could be very useful to help people better manage their time and complete their tasks.
My research examines new ways of approaching the contentious and uncertain knowledge politics surrounding natural disasters and climate change. Using three case studies, focused on different locations and type of haza...
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ISBN:
(纸本)9781450346887
My research examines new ways of approaching the contentious and uncertain knowledge politics surrounding natural disasters and climate change. Using three case studies, focused on different locations and type of hazards, I show how current information systems and technologies reproduce and reinforce longstanding discourses that have been widely shown to be problematic by social science research on disaster. Adopting the approach of research through design (RtD), I explore approaches to understanding flood risk, earthquake damage, and sea-level rise that seek to undermine these discourses and provide new ways of engaging with they challenges they present.
Social media generate large-scale data to study food and drink consumption in everyday life. Using Instagram posts in Switzerland over five years, our goal is two-fold. First, we extract key food & drink consumpti...
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ISBN:
(纸本)9781450353786
Social media generate large-scale data to study food and drink consumption in everyday life. Using Instagram posts in Switzerland over five years, our goal is two-fold. First, we extract key food & drink consumption patterns, through the lenses of a data-driven dictionary of popular items extracted from hashtags, and of a food categorization system used by the Swiss Federal government for national statistics purposes. Patterns related to spatial and temporal distributions of food & drink consumption, demographics, and eating events are extracted and compared to official statistics. Second, using the insights from this analysis, we define two eating event classification tasks, including a two-class task (healthy vs. unhealthy) and a six-class task (the three main meals breakfast/ lunch/dinner/plus brunch/coffee/tea). Both tasks use hashtags as labels for supervised learning. We study how content (hashtags and food categories), context (time and location), and social features (likes) can discriminate these eating events. A random forest and a combination of content and context features can classify healthy vs. unhealthy eating posts with 85.8% accuracy, and the six daily eating occasions with 61.7% accuracy.
Extracting and visualizing informative insights from temporal event sequences becomes increasingly difficult when data volume and variety increase. Besides dealing with high event type cardinality and many distinct se...
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ISBN:
(纸本)9781538631850
Extracting and visualizing informative insights from temporal event sequences becomes increasingly difficult when data volume and variety increase. Besides dealing with high event type cardinality and many distinct sequences, it can be difficult to tell whether it is appropriate to combine multiple events into one or utilize additional information about event attributes. Existing approaches often make use of frequent sequential patterns extracted from the dataset, however, these patterns are limited in terms of interpretability and utility. In addition, it is difficult to assess the role of absolute and relative time when using pattern mining techniques. In this paper, we present methods that addresses these challenges by automatically learning composite events which enables better aggregation of multiple event sequences. By leveraging event sequence outcomes, we present appropriate linked visualizations that allow domain experts to identify critical flows, to assess validity and to understand the role of time. Furthermore, we explore information gain and visual complexity metrics to identify the most relevant visual patterns. We compare composite event learning with two approaches for extracting event patterns using real world company event data from an ongoing project with the Danish Business Authority.
The exploration of moderately dense networks is used in various challenges of visual data analysis. Frequently, the solutions lay in graph drawing, based on automatic force-directed layout, which results in a spontane...
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ISBN:
(纸本)9781538608319
The exploration of moderately dense networks is used in various challenges of visual data analysis. Frequently, the solutions lay in graph drawing, based on automatic force-directed layout, which results in a spontaneous and irreproducible node-link diagram. Currently available approaches to improve its readability are generally oriented to finite rendering without providing to the analyst handy tools for post-layout manipulations. Enabling indirect manual control on visualizations through multi-step menus may appear difficult to learn and use. Thus, this problem requires a more intuitive way of solving. This paper presents an original toolset for userguided refinement of the force-directed graph layout, with a bias on pen-centric sketching techniques.
When programmers use an API, they play the role of a "software user". As the quality of use of programs and systems affects productivity, more attention has been paid to API usability issues. This work focus...
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ISBN:
(纸本)9781538604434
When programmers use an API, they play the role of a "software user". As the quality of use of programs and systems affects productivity, more attention has been paid to API usability issues. This work focuses on another dimension of the quality of use, "communicability", which is characteristic of a semiotic approach. The paper presents a Semiotic Engineering study on the communicability of APIs. We analyzed metacommunication - a central concept of the theory we use between designers and users of date APIs, specifically, using the "SigniFYIng APIs" method. The results of the analysis were then related to the testimony of professional programmers during an interview concerning their experience with APIs and programming in general. We illustrate and discuss the value of the results achieved with our API communicability analysis, which in our view is a promising addition to research initiatives that have been exploring API usability.
Natural movement and locomotion in Virtual Environments (VE) is constrained by the user's immediate physical space. To overcome this obstacle, researchers have established the use of impossible spaces. This work i...
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ISBN:
(纸本)9781509066476
Natural movement and locomotion in Virtual Environments (VE) is constrained by the user's immediate physical space. To overcome this obstacle, researchers have established the use of impossible spaces. This work illustrates how impossible spaces can be utilized to enhance the aesthetics of, and presence within, an interactive narrative. This is done by creating impossible spaces with a narrative intent. First, locomotion and impossible spaces in VR are surveyed;second, the benefits of using intentional impossible spaces from a narrative design perspective is presented;third, a VR narrative called Ares is put forth as a prototype;and fourth, a user study is explored. Impossible spaces with a narrative intent intertwines narratology with the world's aesthetics to enhance dramatic agency.
This paper reports on two years of ethnographic observation of the science and politics of flood risk in Colorado, as well as design research that examines citizen interaction with expert knowledge about flooding in t...
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ISBN:
(纸本)9781450346559
This paper reports on two years of ethnographic observation of the science and politics of flood risk in Colorado, as well as design research that examines citizen interaction with expert knowledge about flooding in the region. We argue that the 100-year floodplain standard that inform maps produced by the United States Federal Emergency Management Agency (FEMA)'s National Floodplain Insurance Program (NFIP) represent a problematic form of discursive closure of scientific understanding of flood hazard. We show that in order to meet the requirements of the NFIP, this standard acts as a closure that conveys a certainty that the underlying science does not warrant and foreshortens dialogue on disaster risk and public understanding of flood hazard. Engaging with literature in science and technology studies and human-centered computing, we investigate design opportunities for resisting closure and supporting public formation through encounters with the uncertainty and complexities of risk information.
Cuddly User Interfaces employ soft objects as interfaces between people and smart systems. They can contribute to the realization of ubiquitous computing because soft objects are familiar to us and induce a low psycho...
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Cuddly User Interfaces employ soft objects as interfaces between people and smart systems. They can contribute to the realization of ubiquitous computing because soft objects are familiar to us and induce a low psychological burden.
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