Temple University

About: Temple University is a education organization based out in Philadelphia, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32154 authors who have published 64375 publications receiving 2219828 citations.

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Abstract: BACKGROUND: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. RESULTS: We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. CONCLUSIONS: The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.

Swift Guanxi in Online Marketplaces: The Role of Computer-Mediated Communication Technologies

Abstract: The concept of guanxi (ie, a close and pervasive interpersonal relationship) has received little attention in the literature on online marketplaces, perhaps due to their impersonal nature However, we propose that computer-mediated communication (CMC) technologies can mimic traditional interactive face-to-face communications, thus enabling a form of guanxi in online marketplaces Extending the literature on traditional guanxi, we herein introduce the concept of swift guanxi, conceptualized as the buyer’s perception of a swiftly formed interpersonal relationship with a seller, which consists of mutual understanding, reciprocal favors, and relationship harmonyIntegrating theories of CMC and guanxi, we develop a model that explains how a set of CMC tools (ie, instant messaging, message box, feedback system) facilitate repeat transactions with sellers by building swift guanxi and trust through interactivity and presence (social presence and telepresence) with sellers Longitudinal data from 338 buyers in TaoBao, China’s leading online marketplace, support our structural model, showing that the buyers’ effective use of CMC tools enable swift guanxi and trust by enhancing the buyers’ perceptions of interactivity and presence In turn, swift guanxi and trust predict buyers’ repurchase intentions and their actual repurchases from sellers We discuss the implications of swift guanxi in online marketplaces with the aid of CMC technologies

Threat-Related Attentional Bias in Anxious Youth: A Review

Abstract: The research literature suggests that children and adolescents suffering from anxiety disorders experience cognitive distortions that magnify their perceived level of threat in the environment Of these distortions, an attentional bias toward threat-related information has received the most theoretical and empirical consideration A large volume of research suggests that anxiety-disordered youth selectively allocate their attention toward threat-related information The present review critically examines this research and highlights several issues relevant to the study of threat-related attentional bias in youth, including the influences of temperament, trait anxiety, and state anxiety on threat-related attentional bias It furthermore identifies the need for developmental and methodological considerations and recommends directions for research

Robust network traffic classification

Abstract: As a fundamental tool for network management and security, traffic classification has attracted increasing attention in recent years. A significant challenge to the robustness of classification performance comes from zero-day applications previously unknown in traffic classification systems. In this paper, we propose a new scheme of Robust statistical Traffic Classification (RTC) by combining supervised and unsupervised machine learning techniques to meet this challenge. The proposed RTC scheme has the capability of identifying the traffic of zero-day applications as well as accurately discriminating predefined application classes. In addition, we develop a new method for automating the RTC scheme parameters optimization process. The empirical study on real-world traffic data confirms the effectiveness of the proposed scheme. When zero-day applications are present, the classification performance of the new scheme is significantly better than four state-of-the-art methods: random forest, correlation-based classification, semi-supervised clustering, and one-class SVM.

Persuasive Design of Destination Web Sites: An Analysis of First Impression

Abstract: This research examines the persuasiveness of destination Web sites through an investigation of users' first impression. To achieve this goal, it builds on research by Fogg (2003) and by Kim and Fesenmaier (2007) to assess the effect of the design factors of destination Web sites on first impression formation. The results of this study indicate that the participants were able to make quick judgments on tourism Web sites and that inspiration and usability were the primary drivers evoking a favorable first impression. This research concludes by discussing the implications of these findings and possible directions for future study.