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.
Introduction: Hepatocellular carcinoma (HCC) is the sixth most common cancer in the world [1, 2]. The incidence of hepatocellular carcinoma in Northern America in 2008 was 6.8 in males and 2.2 in females [3]. The majo...
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Introduction: Hepatocellular carcinoma (HCC) is the sixth most common cancer in the world [1, 2]. The incidence of hepatocellular carcinoma in Northern America in 2008 was 6.8 in males and 2.2 in females [3]. The major risk factors for the development of HCC include alcohol abuse, infection with hepatitis B virus (HBV) or hepatitis C virus (HCV), and non-alcoholic steatohepatitis (NASH) [4]. Other less common causes include autoimmune hepatitis, alpha 1-antitrypsin deficiency, he-mochromatosis, and Wilson\'s disease [4]. Primary clear cell carcinoma of the liver (PCCCL) is a rare histologic variant of HCC, with frequencies ranging from 0.4 to 37 % [5-8]. The majority of patients with PCCCL are over the age of 50 and have cirrhosis of the liver [7]. The strongest risk factor for PCCCL is HCV infection, with no significant associations with alcohol abuse, HBV infection, NASH, hemochromatosis, or autoimmune liver diseases [7, 9]. PCCCL is characterized by large vacuolated tumor cells with clear cytoplasm that do not stain with hematoxylin and eosin [10, 11]. PCCCL is diagnosed when the proportion these clear cells in the tumor is >50 %, comparing to benign hepatocytes [5-7]. This tumor poses a diagnostic challenge since it has many morphologic similarities to extrahepatic clear cell carcinomas of renal, adrenal, ovarian, pancreas, lungs, and other organs [10, 12]. It is important to distinguish PCCCL from other metastatic clear cell carcinomas as their treatment modalities and prognosis are different [6, 7]. Here, we describe a case of PCCCL, who presented with acute abdomen. The incidence, risk factors, diagnosis, and management of this rare clinical entity are discussed.
Regorafenib is only the second agent approved by the FDA for the treatment of patients with advanced-stage hepatocellular carcinoma. Herein, we discuss the evidence that led to the approval of this agent. Examination ...
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Regorafenib is only the second agent approved by the FDA for the treatment of patients with advanced-stage hepatocellular carcinoma. Herein, we discuss the evidence that led to the approval of this agent. Examination of this process reveals important challenges associated with drug regulation, relating to trial design, treatment toxicity, and real-world clinical *** is only the second agent approved by the FDA for the treatment of patients with advanced-stage hepatocellular carcinoma. Herein, we discuss the evidence that led to the approval of this agent. Examination of this process reveals important challenges associated with drug regulation, relating to trial design, treatment toxicity, and real-world clinical benefit.
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.
Introduction: Hepatocellular cancer (HCC) ranks as the sixth common cancer in the world [1]. Yearly, it is estimated that more than 700,000 people are diagnosed with HCC. However, when it comes to mortality, it is the...
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Introduction: Hepatocellular cancer (HCC) ranks as the sixth common cancer in the world [1]. Yearly, it is estimated that more than 700,000 people are diagnosed with HCC. However, when it comes to mortality, it is the second cause [1,2]. More than half of the HCC patients are from East Asia and the most prevalent liver disease causing HCC is chronic hepatitis B (HBV) infection there. The other underlying disorders are chronic hepatitis C infection, alcohol abuse, and metabolic syndrome. Tobacco smoking and dietary aflatoxin exposure are additional confounding factors [3]. Despite advances in medicine, recurrence after HCC treatment are unacceptably high. In the long-term recurrence, free survival is less than 40% after loco-regional treatments [4]. Here, the current literature in recurrence of HCC is reviewed.
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.
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