Online Harassment: A Research Challenge for HCI

2018 ◽  
pp. 1-2
Author(s):  
Jennifer Golbeck
Keyword(s):  
Online Harassment ◽  
Research Challenge

Hybrid ensemble approaches to online harassment detection in highly imbalanced data

2021 ◽  
pp. 114751
Author(s):  
Marwa Tolba ◽  
Salima Ouadfel ◽  
Souham Meshoul
Keyword(s):  
Imbalanced Data ◽  
Online Harassment

scholarly journals Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases

2021 ◽  
Vol 22 (9) ◽  
pp. 4688
Author(s):  
Mootaz M. Salman ◽  
Zaid Al-Obaidi ◽  
Philip Kitchen ◽  
Andrea Loreto ◽  
Roslyn M. Bill ◽  
...  
Keyword(s):  
Drug Design ◽  
Neurodegenerative Diseases ◽  
Docking Studies ◽  
New Drugs ◽  
Computer Aided Drug Design ◽  
Biological Assays ◽  
Advantages And Disadvantages ◽  
Computer Aided ◽  
Research Challenge ◽  
The Cost

Neurodegenerative diseases (NDs) including Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and Huntington’s disease are incurable and affect millions of people worldwide. The development of treatments for this unmet clinical need is a major global research challenge. Computer-aided drug design (CADD) methods minimize the huge number of ligands that could be screened in biological assays, reducing the cost, time, and effort required to develop new drugs. In this review, we provide an introduction to CADD and examine the progress in applying CADD and other molecular docking studies to NDs. We provide an updated overview of potential therapeutic targets for various NDs and discuss some of the advantages and disadvantages of these tools.

Modeling and Implementation of Inter-Campuses Equipment Optimized Management Based on WebGIS

2013 ◽  
Vol 680 ◽  
pp. 534-539
Author(s):  
Wei Feng Ma
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Large Scale ◽  
New Technology ◽  
Rapid Expansion ◽  
Mathematics Model ◽  
Data Mapping ◽  
Geographically Dispersed ◽  
New Research ◽  
Research Challenge

With the rapid expansion of the campus scale and the increasing of the geographically dispersed campus, how to adopt new theory, new method and new technology to realize the equipment optimized assignment and the information management is a new research challenge. It is the key to safeguard the national fund to use reasonably, and to speed up the development of education healthily. Through analyzing the domestic and foreign related research works, the paper proposed that it can take use of the spatial data expression and analysis with Geographic Information System (GIS) to realize the large-scale and inter-campuses equipment optimized assignment and information management. It discussed the mathematics model and the system architecture. Moreover, the paper described the key implementation technology in great detail such as spatial data mapping with MapInfo professional 9 and the development of WebGIS functions with MapXtreme. The results show that the solution is feasible and effective.

Twelve Years of Energy Efficiency in Historic Buildings in Sweden

2019 ◽  
Vol 23 (2) ◽  
pp. 41-52 ◽  
Author(s):  
Marie Claesson ◽  
Tor Broström
Keyword(s):  
Energy Efficiency ◽  
Energy Use ◽  
Research Programme ◽  
Historic Buildings ◽  
Indoor Climate ◽  
Climate Control ◽  
Energy Agency ◽  
Long Term Effect ◽  
Research Challenge ◽  
Technical Solutions

Abstract The Swedish National Research programme for Energy Efficiency in historic buildings was initiated in 2006 by the Swedish Energy Agency. This article gives an overview of the programme: objectives, projects and the general results of the programme. The research programme aims to develop knowledge, methods and technical solutions that contribute to energy efficiency in historically valuable buildings without destroying or damaging the historical value of the buildings, including decoration, furnishings, interiors or equipment. The programme is not limited to listed and monumental buildings but covers a wider range of historic buildings that account for a large part of the energy use in the building sector. For one and two-family houses, around 25 % of the energy use is associated with buildings built before 1945. The same number for multifamily houses is around 15 %. The programme is currently in its third consecutive four-year-stage. Previous four-year-stages were completed in 2010 and 2014. Over time, the scope of the programme and the projects have developed from mainly dealing with indoor climate control in monumental buildings towards addressing more general issues in the much larger stock of non-listed buildings. Technical research, based on quantitative analysis, dominate throughout all three stages, however most projects have had interdisciplinary components. The results from the programme have been presented in 31 journal papers, 67 conference papers, five books and five PhD theses. The projects have also contributed to CEN standards and resulted in a number of Bachelors and Master’s theses. An equally important long-term effect of the programme is that the number of Swedish researchers in the field have increased from practically none in 2007 to 18 senior researchers and twelve PhD students from ten universities in 2014. The research programme on Energy Efficiency in historic buildings is unique in an international context. Hopefully it can serve as an example for other countries on how to address an important interdisciplinary research challenge.

Perceived Formal and Informal Sanctions in Deterring Cybercrime in a College Sample

2021 ◽  
pp. 104398622110016
Author(s):  
Adam M. Bossler
Keyword(s):  
Criminal Justice ◽  
Deviant Behavior ◽  
Software Piracy ◽  
Digital Piracy ◽  
Online Harassment ◽  
College Sample ◽  
Computer Hacking ◽  
Peer Associations ◽  
Password Cracking

The threat of formal sanctions is the criminal justice system’s primary tool to discourage online and offline deviant behavior. Yet, scholars have expressed strong concerns about the effectiveness of formal sanctions to deter cybercrime. Even more surprising is the sparsity of deterrence research in the cybercrime literature. This study examined the effects of perceived formal and informal sanctions on digital piracy, computer hacking, and online harassment in a large American college sample. Perceived formal sanctions was negatively correlated with software piracy, media piracy, password cracking, accessing accounts, sending mean messages privately online, and posting mean messages. Higher levels of perceived formal sanctions did not significantly predict any form of cybercrime, however, when controlling for informal sanctions and deviant peer associations. The implications of the findings for our ability to deter deviant behavior in cyberspace are explored.

scholarly journals A muscle synergies-based movements detection approach for recognition of the wrist movements

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Aida Masoumdoost ◽  
Reza Saadatyar ◽  
Hamid Reza Kobravi
Keyword(s):  
Decision Fusion ◽  
Classification Performance ◽  
Muscle Synergy ◽  
Fusion Algorithm ◽  
Main Research ◽  
Main Challenge ◽  
Detection Approach ◽  
Average Accuracy ◽  
Bayesian Fuzzy Clustering ◽  
Research Challenge

Abstract Myoelectric signals are regarded as the control signal for prosthetic limbs. But, the main research challenge is reliable and repeatable movement detection using electromyography. In this study, the analysis of the muscle synergy pattern has been considered as a key idea to cope with this main challenge. The main objective of this research was to provide an analytical tool to recognize six wrist movements through electromyography (EMG) based on analysis of the muscle synergy patterns. In order to design such a system‚ the synergy patterns of the wrist muscles have been extracted and utilized to identify wrist movements. Also, different decision fusion algorithms were used to increase the reliability of the synergy pattern classification. The classification performance was evaluated while no data subject was enrolled. In terms of the achieved performance, using a multi-layer perceptron (MLP) neural network as the fusion algorithm turned out to be the best combination. The classification average accuracy, obtained in an offline manner, was about 99.78 ± 0.45%. While the classification average cross-validation accuracy, obtained in an offline manner, using Bayesian fusion, and Bayesian fuzzy clustering (BFC) fusion algorithm were 99.33 ± 0.80% and 96.43 ± 1.08%, respectively.

scholarly journals Zoombombing During a Global Pandemic

2021 ◽  
Vol 7 (3) ◽  
pp. 205630512110353
Author(s):  
Greg Elmer ◽  
Stephen J. Neville ◽  
Anthony Burton ◽  
Sabrina Ward-Kimola
Keyword(s):  
Empirical Study ◽  
Public Life ◽  
Cultural Practice ◽  
Online Harassment ◽  
Media Frames ◽  
Global Pandemic ◽  
Cross Platform ◽  
Digital Methods ◽  
Insight Into

Using a digital methods analysis, the following article conducts a cross-platform study of the emergent “Zoombombing” phenomenon alongside COVID-19 and the concomitant on-lining of professional and public life. This empirical study seeks to provide further insight to media frames characterizing Zoombombing at the outbreak of the pandemic, providing further insight into Zoombombing as a practice, how related actions act as an extension of longer histories and practices of online harassment, and the role that various platforms play in the phenomenon’s unfolding. By interrogating these points of departure, our study sheds light not only on Zoombombing as a cultural practice, but also how these acts manifest within and across a range of Internet platforms.

RiRiShun Logistics: Home Appliance Delivery Data for the 2021 Manufacturing & Service Operations Management Data-Driven Research Challenge

2021 ◽  
Author(s):  
Xiaolong Guo ◽  
Yugang Yu ◽  
Gad Allon ◽  
Meiyan Wang ◽  
Zhentai Zhang
Keyword(s):  
Operations Management ◽  
Service Operations ◽  
Optimization Techniques ◽  
Data Driven ◽  
Analytical Models ◽  
Data Set ◽  
Service Operations Management ◽  
Level Data ◽  
Home Appliance ◽  
Research Challenge

To support the 2021 Manufacturing & Service Operations Management (MSOM) Data-Driven Research Challenge, RiRiShun Logistics (a Haier group subsidiary focusing on logistics service for home appliances) provides MSOM members with logistics operational-level data for data-driven research. This paper provides a detailed description of the data associated with over 14 million orders from 149 clients (the consigners) associated with 4.2 million end consumers (the recipients and end users of the appliances) in China, involving 18,000 stock keeping units operated at 103 warehouses. Researchers are welcomed to develop econometric models, data-driven optimization techniques, analytical models, and algorithm designs by using this data set to address questions suggested by company managers.

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