What Are Fungal Infections?

Yeasts and moulds now rank amongst the 10 most frequently isolated pathogens in febrile patients with an impaired immune system. Fungi are mainly opportunistic pathogens that only invade the body if a severely weakened natural defense permits them to do so. Most factors facilitating an invasive fungal infection are unavoidable because they are directly connected to the underlying diseases as well as to their treatment

TA-COS 2016 : First workshop on text analytics for cybersecurity and online safety : Proceedings

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Detection and fine-grained classification of cyberbullying events

In the current era of online interactions, both positive and negative experiences are abundant on the Web. As in real life, negative experiences can have a serious impact on youngsters. Recent studies have reported cybervictimization rates among teenagers that vary between 20% and 40%. In this paper, we focus on cyberbullying as a particular form of cybervictimization and explore its automatic detection and fine-grained classification. Data containing cyberbullying was collected from the social networking site Ask.fm. We developed and applied a new scheme for cyberbullying annotation, which describes the presence and severity of cyberbullying, a post author's role (harasser, victim or bystander) and a number of fine-grained categories related to cyberbullying, such as insults and threats. We present experimental results on the automatic detection of cyberbullying and explore the feasibility of detecting the more fine-grained cyberbullying categories in online posts. For the first task, an F-score of 55.39% is obtained. We observe that the detection of the fine-grained categories (e.g. threats) is more challenging, presumably due to data sparsity, and because they are often expressed in a subtle and implicit way

Automatic detection and prevention of cyberbullying

The recent development of social media poses new challenges to the research community in analyzing online interactions between people. Social networking sites offer great opportunities for connecting with others, but also increase the vulnerability of young people to undesirable phenomena, such as cybervictimization. Recent research reports that on average, 20% to 40% of all teenagers have been victimized online. In this paper, we focus on cyberbullying as a particular form of cybervictimization. Successful prevention depends on the adequate detection of potentially harmful messages. However, given the massive information overload on the Web, there is a need for intelligent systems to identify potential risks automatically. We present the construction and annotation of a corpus of Dutch social media posts annotated with fine-grained cyberbullying-related text categories, such as insults and threats. Also, the specific participants (harasser, victim or bystander) in a cyberbullying conversation are identified to enhance the analysis of human interactions involving cyberbullying. Apart from describing our dataset construction and annotation, we present proof-of-concept experiments on the automatic identification of cyberbullying events and fine-grained cyberbullying categories

Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity

The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data. Nevertheless, while computational power and affordability of resources continue to increase, the access restrictions on high-quality data limit the applicability of state-of-the-art techniques. Consequently, much of the recent research uses small, heterogeneous datasets, without a thorough evaluation of applicability. In this paper, we further illustrate these issues, as we (i) evaluate many publicly available resources for this task and demonstrate difficulties with data collection. These predominantly yield small datasets that fail to capture the required complex social dynamics and impede direct comparison of progress. We (ii) conduct an extensive set of experiments that indicate a general lack of cross-domain generalization of classifiers trained on these sources, and openly provide this framework to replicate and extend our evaluation criteria. Finally, we (iii) present an effective crowdsourcing method: simulating real-life bullying scenarios in a lab setting generates plausible data that can be effectively used to enrich real data. This largely circumvents the restrictions on data that can be collected, and increases classifier performance. We believe these contributions can aid in improving the empirical practices of future research in the field

Candida dubliniensis candidemia in patients with chemotherapy-induced neutropenia and bone marrow transplantation.

The recently described species Candida dubliniensis has been recovered primarily from superficial oral candidiasis in HIV-infected patients. No clinically documented invasive infections were reported until now in this patient group or in other immunocompromised patients. We report three cases of candidemia due to this newly emerging Candida species in HIV-negative patients with chemotherapy-induced immunosuppression and bone marrow transplantation

Forum Report: Issues in the Evaluation of Diagnostic Tests, Use of Historical Controls, and Merits of the Current Multicenter Collaborative Groups

This forum report contains conclusions about 3 different issues relevant to conducting clinical trials in deep mycoses. (1) Trials of diagnostic tests for deep mycoses must define the population appropriate for testing and the clinical question being asked. The unanswered question for the serum Aspergillus galactomannan assay is whether knowledge of results can change use of empirical therapy to treat febrile patients at high risk of invasive aspergillosis. (2) Use of historical controls is suboptimal but offers a pragmatic solution for studying rare mycoses; use of contemporaneous controls, matched for critical variables and evaluated by a blinded data review committee using detailed criteria, appears optimal. (3) Established groups of independent investigators, such as the European Organization for Research on Treatment of Cancer's Invasive Fungal Infections Group and National Institute of Allergy and Infectious Diseases's Bacteriology and Mycology Study Group, provide a pool of experienced investigators, defined operating rules, impartiality, and specialized expertise. Considering the enormous investment required for adequately powered efficacy trials of antifungal agents and the importance of these trials to guide clinical practice, use of collaborative groups outweighs the extra administrative time that is sometimes require

Forum Report: Issues in Clinical Trials of Empirical Antifungal Therapy in Treating Febrile Neutropenic Patients

There is inferential evidence that some patients with prolonged neutropenia and fever not responding to antibacterial agents are at sufficient risk of deep mycoses to warrant empirical therapy, although superiority of an antifungal agent over placebo has not been conclusively demonstrated. Amphotericin B deoxycholate, liposomal amphotericin B, and intravenous itraconazole followed by oral itraconazole solution are licensed in the United States for this indication. Fluconazole and voriconazole have given favorable results in clinical trials of patients with low and high risk of deep mold infections, respectively. Design features that can profoundly influence outcome of empirical trials are (1) inclusion of low-risk patients, (2) failure to blind the study, (3) obscuration of antifungal effects by changing antibacterial antibiotics, (4) failure to balance both arms of the study in terms of patients with prior antifungal prophylaxis or with severe comorbidities, (5) the merging of end points evaluating safety with those of efficacy, and (6) choice of different criteria for resolution of feve

Forum Report: Issues in the Design of Trials of Drugs for the Treatment of Invasive Aspergillosis

A recent trial of drugs for invasive aspergillosis was used as a background for discussing critical features in the design of antifungal trials. The study under discussion allowed stopping either drug without classifying the patient as having treatment failure, so the trial should be understood as a comparison of 2 treatment strategies, not just 2 drugs. Although the study was a noninferiority trial, the outcome permitted a claim of superiority. Use of the category of "probable” in addition to "proven” aspergillosis permitted inclusion of patients for whom the diagnosis was less certain but who were still early enough in the disease progression to respond to therapy. Different opinions still exist about some of the criteria for the diagnosis of "probable” aspergillosis. A blinded data review committee was helpful in evaluating efficacy in this unblinded trial but had limited value in assessing toxicity. An understanding of these features of design of antifungal drug trials is important in applying the results to clinical practic