289 research outputs found
Delivering a graphic design course online: simulating a real classroom situation and speculating what technologies can ideally offer in this virtual situation
This thesis examines a new way to simplify online education and to simulate a real classroom situation. It explores how a graphic design class can be conducted online where the students from different geographical locations and faculty can interact instantaneously with the aid of video, chat and whiteboard. For the most part, the potential for Macromedia Flash Communication Server to deliver chat, whiteboard and video functionality are assessed. It is speculated that video images are slightly jerky among Modem users whereas sharp video images are obtained with high-speed Internet connection. The survey findings among the design students and faculty at R.I.T reveal the following: 75% agreed that the project can be Functional; 68% esteem the Esthetic value of the web site and 48% are in favor of its Usability features. The whole project is executed in Flash MX 2004, making use of User Interface Components and Communication Components
Myasthenia Gravis: Clinical and Immunological Aspects
Autoimmune diseases such as myasthenia gravis (MG) result from an altered balance between the processes of activation and regulation of immune response. MG is the most common autoimmune disorder characterized by failure of transmission at the neuromuscular junction (NMJ). Autoantibodies in MG target the acetylcholine receptors (AChRs) as well as non-AChR components like muscle-specific tyrosine kinase (MuSK). Autoantibodies against AChRs are produced by B cells in the germinal centres (GCs), formed in the medulla of MG thymus and circulated to the post-synaptic side of the neuromuscular junction (NMJ) leading to complement-mediated destruction of the post-synaptic folds of NMJ and internalization of AChRs. The incidence and prevalence of MG have increased particularly in elderly, but clinical presentations vary substantially and recognition depends on classic disease phenotype. This chapter focuses on clinical and immunological aspects of MG and its subgroups based on its characterization of the antigenic targets
The effect of Visual Design Quality on Player Experience Components in Tablet Games
Research in the field of Human Computer Interaction Design indicates that there is a need to develop further methods, tools, and frameworks for the design and evaluation of digital game interfaces. This thesis aims to design, develop, and evaluate two different types of tablet games with varying visual design quality interfaces to examine users’ perceptions of hedonic quality, visual design, emotions, and game enjoyment in different channels of experience. The design-oriented approach was adopted to combine both creative practice and scientific inquiry in the game design process and empirical evaluation. Hypotheses were formulated to explore the significance of visual design quality in relation to the components of player experience. The study entailed two phases. In the first phase, participatory design methods were employed to design and develop the tablet games encompassing mind-mapping techniques, focus groups, iterative prototyping with multiple cycles of usability testing of user interfaces. In the second phase, survey instruments were applied to collect and analyze data from 111 participants using tablet games as stimuli in a controlled experimental condition. The main contribution of this research is creation of a player experience model, validated in the domain of tablet gaming, to serve as a new theory. This research will allow for game researchers and practitioners to obtain a deeper understanding of the significance of the player experience framework components to create optimal player experience in tablet games. The finding shows that highly attractive game user interfaces were perceived to have higher utility and ease of use. Participants exhibited higher levels of arousal and valence in the high visual design quality interfaces mediated by hedonic quality. Participants who were highly sensitive to visual design did not necessarily derive the highest level of game enjoyment. Participants derived a heightened level of engagement in the arousal channel of experience and the highest level of enjoyment in the flow state. The use of 2.5D graphics and analogous color schemes created a spatial illusion that captivated users' attention. Practitioners are encouraged to design game artifacts with feature sets and mechanics capable of transporting players into the state of flow, as this is the stage where they experience game control, excitement and relaxation in addition to game immersion in the state of arousal
Understanding and Measuring Psychological Stress using Social Media
A body of literature has demonstrated that users' mental health conditions,
such as depression and anxiety, can be predicted from their social media
language. There is still a gap in the scientific understanding of how
psychological stress is expressed on social media. Stress is one of the primary
underlying causes and correlates of chronic physical illnesses and mental
health conditions. In this paper, we explore the language of psychological
stress with a dataset of 601 social media users, who answered the Perceived
Stress Scale questionnaire and also consented to share their Facebook and
Twitter data. Firstly, we find that stressed users post about exhaustion,
losing control, increased self-focus and physical pain as compared to posts
about breakfast, family-time, and travel by users who are not stressed.
Secondly, we find that Facebook language is more predictive of stress than
Twitter language. Thirdly, we demonstrate how the language based models thus
developed can be adapted and be scaled to measure county-level trends. Since
county-level language is easily available on Twitter using the Streaming API,
we explore multiple domain adaptation algorithms to adapt user-level Facebook
models to Twitter language. We find that domain-adapted and scaled social
media-based measurements of stress outperform sociodemographic variables (age,
gender, race, education, and income), against ground-truth survey-based stress
measurements, both at the user- and the county-level in the U.S. Twitter
language that scores higher in stress is also predictive of poorer health, less
access to facilities and lower socioeconomic status in counties. We conclude
with a discussion of the implications of using social media as a new tool for
monitoring stress levels of both individuals and counties.Comment: Accepted for publication in the proceedings of ICWSM 201
PSO Algorithm Based Resource Allocation for OFDM Cognitive Radio
With the development of remote correspondences, the issue of data transmission lack has turned out to be more conspicuous. Then again, to sense the presence of authorized clients, range detecting procedures are utilized. Vitality recognition, Matched channel identification and Cyclo-stationary component location are the three ordinary techniques utilized for range detecting. However there are a few downsides of these strategies. The execution of vitality indicator is helpless to instability in noise power. Coordinated channel range detecting strategies require a devoted collector for each essential client. Cyclo-stationary element Detection requires parcel of calculation exertion and long perception time. This proposition talks about the routine vitality location strategy and proposed enhanced vitality identification technique utilizing cubing operation. Additionally, cyclic prefix based range detecting is talked about in this theory. Scientific Description of vitality location and cyclic prefix based range detecting strategies is likewise delineated for fading channels
It Takes Two to Negotiate: Modeling Social Exchange in Online Multiplayer Games
Online games are dynamic environments where players interact with each other,
which offers a rich setting for understanding how players negotiate their way
through the game to an ultimate victory. This work studies online player
interactions during the turn-based strategy game, Diplomacy. We annotated a
dataset of over 10,000 chat messages for different negotiation strategies and
empirically examined their importance in predicting long- and short-term game
outcomes. Although negotiation strategies can be predicted reasonably
accurately through the linguistic modeling of the chat messages, more is needed
for predicting short-term outcomes such as trustworthiness. On the other hand,
they are essential in graph-aware reinforcement learning approaches to predict
long-term outcomes, such as a player's success, based on their prior
negotiation history. We close with a discussion of the implications and impact
of our work. The dataset is available at
https://github.com/kj2013/claff-diplomacy.Comment: 28 pages, 11 figures. Accepted to CSCW '24 and forthcoming the
Proceedings of ACM HCI '2
LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection
This paper compares different pre-trained and fine-tuned large language
models (LLMs) for hate speech detection. Our research underscores challenges in
LLMs' cross-domain validity and overfitting risks. Through evaluations, we
highlight the need for fine-tuned models that grasp the nuances of hate speech
through greater label heterogeneity. We conclude with a vision for the future
of hate speech detection, emphasizing cross-domain generalizability and
appropriate benchmarking practices.Comment: 9 pages, 3 figures, 4 table
Social Media and Electoral Predictions: A Meta-Analytic Review
Can social media data be used to make reasonably accurate estimates of electoral outcomes? We conducted a meta-analytic review to examine the predictive performance of different features of social media posts and different methods in predicting political elections: (1) content features; and (2) structural features. Across 45 published studies, we find significant variance in the quality of predictions, which on average still lag behind those in traditional survey research. More specifically, our findings that machine learning-based approaches generally outperform lexicon-based analyses, while combining structural and content features yields most accurate predictions
Recommended from our members
Characterization of autoreactive B cells and AChR autoantibodies in myasthenia gravis
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonMyasthenia gravis (MG) is a B cell mediated autoimmune disease that is characterized
by muscle weakness and fatigue and associated with autoantibodies directed against
muscle acetylcholine receptor (AChR) at the neuromuscular junction. Detection of these
antibodies has an important role in the diagnosis, treatment and management of the
disease. The antibodies are partly produced by the autoreactive B cells in germinal
centres formed in the medulla of the myasthenia thymus, where there are also thymic
muscle-like cells that express fetal AChRs. The antibodies circulate to the
neuromuscular junction leading to complement mediated lysis of the membrane and
internalization of AChRs. The patients are successfully treated by corticosteroids,
plasmapheresis and immunotherapies that reduce the levels of circulating antibodies.
The AChR antibodies are disease specific and thought to be pathogenic but the
mechanisms involved in the failure of tolerance is not well understood. In addition, the
treatments are non-specific. Better treatments, targeted at acetylcholine receptor specific
B cells, or the plasma cells that make the antibodies, would be preferred.
The aim of the thesis was to try to characterize AChR autoantibodies from B cells in the
myasthenia gravis thymus gland. The first steps were to test sera, from patients whose
thymic lymphocyte populations had been archived by Prof N Willcox, in order to
identify cultures that contained cells synthesizing AChR antibodies.
Radioimmunoprecipitation and cell-based assays using human embryonic kidney
(HEK293T) cells transfected with adult or fetal AChR with additional rapsyn-EGFP
(enhanced green fluorescent protein), were used to measure the antibodies. Thymic
cultures were tested from selected patients to identify AChR synthesis. The next step
was to identify the AChR-antibody specific B cells; a novel approach was to use
extracellular membrane vesicles prepared from the transfected cells expressing the AChRs clustered with the intracellular protein rapsyn. Finally, the peripheral blood
mononuclear cells (PBMCs) and thymic lymphocytes were characterized by
fluorescence activation cell sorting (FACS), and the binding of AChR vesicles to CD19
positive B cells examined.
The radioimmunoprecipitation assay was able to detect serum AChR antibodies in MG
patients’ sera and to a lesser extent in thymic cell cultures. The cell-based assay also
detected clustered AChR antibodies in sera of the majority but not all MG patients.
Because the thymus gland contains fetal AChR rather than the adult form, fetal AChR
antibodies were tested and found to be more highly represented in the patients than the
antibodies to the adult form. Extracellular membrane vesicles expressed AChRs as
shown by immunostaining and western blotting. FACS analysis of the AChR/rapsyn-
EGFP membrane vesicle preparation showed that they could be detected by this method.
To develop the methods for detecting the AChR antibody producing specific B cells,
FACS analysis of lymphocyte populations was established in Raji cells and peripheral
blood lymphocytes, and finally in the thymic cultures of two myasthenia patients.
Analysis of CD19+ B lymphocytes from one selected thymic culture was incubated with
AChR expressing vesicles which demonstrated binding of the vesicles to a population of
B cells.
The work done in this thesis partially achieved the aims of developing the methods for
identifying AChR-specific B cells by use of AChR-expressing membrane vesicles and
has provided the basis for further work. For this confirmation of the results, fresh thymic
preparations from patients would clearly be desirable rather than the archived
preparations available at the time of this work
- …