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Full-Text Articles in Entire DC Network
Ucf Thyroid Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Thyroid Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Lymp Node Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Lymp Node Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Adrenal Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Adrenal Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Colon Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Colon Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Heart Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Heart Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Bladder Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Bladder Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Skin Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Skin Patch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Prostate Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Prostate Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Spleen Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Spleen Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Pancreas Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Pancreas Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Brain Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Brain Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Kidney Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Kidney Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Ucf Liver Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
Ucf Liver Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley
UCF Necropsy WSI
Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …
Caitlin Clark And History, Richard C. Crepeau
Caitlin Clark And History, Richard C. Crepeau
On Sport and Society
Over the past several weeks one of the major stories in sport in the United States has been Caitlin Clark’s quest for the all-time scoring title in women’s college basketball. Clark with her high-level skills: shooting, passing, rebounding, and defense were a source of amazement to many, especially those for whom women’s basketball and women’s sport have been of marginal interest.
Teaching English Language Learners: Exploring The Instructional Modifications Mainstream Teachers Use, Nilufer Guler
Teaching English Language Learners: Exploring The Instructional Modifications Mainstream Teachers Use, Nilufer Guler
Journal of English Learner Education
The number of language learners (ELLs) is increasing rapidly at U.S. schools. Mainstream teachers have an important role in the academic success of these students because ELLs spend most of their school time in mainstream classes and are pulled out a few hours in a school day for ELL services. This research aims to uncover the educational experiences of ELLs in mainstream classes. Using statewide systematic initiative and qualities of linguistically responsive teachers as theoretical frameworks, I collected survey data from 129 teachers and interviewed 15 teachers. The results have shown that teachers tend to translate language for their students …
Teacher Candidates’ Service-Learning With English Learners, Hsiaoping Wu
Teacher Candidates’ Service-Learning With English Learners, Hsiaoping Wu
Journal of English Learner Education
This study explores the impact of a service-learning project with English Learners (ELs) on the instructional, conceptual, and emotional development of teacher candidates. Participants are pre-service teachers who work with ELs enrolled in elementary schools in Texas through a partnership with the Community in Schools (CIS) organization. The participants’ reflective journals provided qualitative evidence of the field experience and the students’ in-class discussions and projects. A qualitative analysis indicated four themes related to instruction techniques and emotional development from these field experiences: (1) the modified strategies can facilitate students’ comprehension, (2) the domains of languages, (3) increased confidence and empathy, …
Cooperating Teachers’ Views And Practices About Teaching Emergent Bilinguals In General Education Classrooms, Tunde Szecsi, Janka Szilagyi
Cooperating Teachers’ Views And Practices About Teaching Emergent Bilinguals In General Education Classrooms, Tunde Szecsi, Janka Szilagyi
Journal of English Learner Education
Cooperating teachers’ pedagogical beliefs and practices influence teacher candidates’ views and practices. Therefore, this study examined mainstream cooperating teachers’ perceptions about critical components of effective instruction for English learners, and the relationship between these teachers’ perceptions and classroom practices. We interviewed 55 teachers and completed a 90-minute observation in each classroom. We analyzed the interviews for common themes, and we used descriptive statistics to summarize the observation data. The findings indicated that teachers were well-versed in evidence-based instructional activities and strategies. However, many teachers found it challenging to infuse ELs’ language, culture and experiential background into their instruction.
Addressing Language And Content In Civics Through A Language-Based Approach To Content Instruction For Multilingual Learners, Jia Gui, Luciana C. De Oliveira
Addressing Language And Content In Civics Through A Language-Based Approach To Content Instruction For Multilingual Learners, Jia Gui, Luciana C. De Oliveira
Journal of English Learner Education
This study explores the integration of a language-based approach to content instruction’s (LACI) six Cs of support into an existing civics lesson plan to improve content and language learning for multilingual learners. We used the Civics for All curriculum from the New York City Department of Education to identify lesson plans that could be enhanced for teaching multilingual learners. The findings of integrating the LACI framework indicated that the existing lesson plans could be enhanced by adding all the Cs to ensure full support for multilingual learners. We conclude with strategies for integrating the LACI framework into existing civics lesson …
Resident Survey Highlights, Jacquelyn Reiss, Amy Donley
Resident Survey Highlights, Jacquelyn Reiss, Amy Donley
Institute for Social and Behavioral Science (ISBS)
No abstract provided.
The Uncanny Coincidences Of The Russian Joyce, Bradley A. Gorski
The Uncanny Coincidences Of The Russian Joyce, Bradley A. Gorski
James Joyce Literary Supplement
.
Lorna Doone And Lake Mann Resident Surveys: Results, Amy Donley, Jacquelyn Reiss, Caroline Austin
Lorna Doone And Lake Mann Resident Surveys: Results, Amy Donley, Jacquelyn Reiss, Caroline Austin
Institute for Social and Behavioral Science (ISBS)
No abstract provided.
Human-Machine Communication: Complete Volume. Volume 8
Human-Machine Communication: Complete Volume. Volume 8
Human-Machine Communication
This is the complete volume of HMC Volume 8.
What Hmc Teaches Us About Authenticity, Katrin Etzrodt, Jihyun Kim, Margot Van Der Goot, Andrew Prahl, Mina Choi, Matthew Craig, Marco Dehnert, Sven Engesser, Katharina Frehmann, Luis A. Grande, Jindong Liu, Diyi Liu, Sandra Mooshammer, Nathan Rambukkana, Ayanda Rogge, Pieta Sikström, Rachel Son, Nan J. Wilkenfeld, Kun Xu, Renwen Zhang, Ying Zhu, Chad Edwards
What Hmc Teaches Us About Authenticity, Katrin Etzrodt, Jihyun Kim, Margot Van Der Goot, Andrew Prahl, Mina Choi, Matthew Craig, Marco Dehnert, Sven Engesser, Katharina Frehmann, Luis A. Grande, Jindong Liu, Diyi Liu, Sandra Mooshammer, Nathan Rambukkana, Ayanda Rogge, Pieta Sikström, Rachel Son, Nan J. Wilkenfeld, Kun Xu, Renwen Zhang, Ying Zhu, Chad Edwards
Human-Machine Communication
This paper delves into what the application of authenticity to Human-Machine Communication (HMC) can teach us about authenticity and us as HMC researchers and as a com- munity. Inspired by the 2023 pre-conference “HMC: Authenticity in communicating with machines,” two central questions guide the discussion: How does HMC contribute to our understanding of authentic communication with machines? And how can the concept of authenticity contribute to our sense of self as researchers within the HMC field? Through the collaborative effort of 22 authors, the paper explores the re-conceptualization of authenticity and presents recent areas of tension that guide the HMC …
What’S In A Name And/Or A Frame? Ontological Framing And Naming Of Social Actors And Social Responses, David Westerman, Michael Vosburg, Xinyue Liu, Patric R. Spence
What’S In A Name And/Or A Frame? Ontological Framing And Naming Of Social Actors And Social Responses, David Westerman, Michael Vosburg, Xinyue Liu, Patric R. Spence
Human-Machine Communication
Artificial intelligence (AI) is fundamentally a communication field. Thus, the study of how AI interacts with us is likely to be heavily driven by communication. The current study examined two things that may impact people’s perceptions of socialness of a social actor: one nonverbal (ontological frame) and one verbal (providing a name) with a 2 (human vs. robot) x 2 (named or not) experiment. Participants saw one of four videos of a study “host” crossing these conditions and responded to various perceptual measures about the socialness and task ability of that host. Overall, data were consistent with hypotheses that whether …
In Seal We Trust? Investigating The Effect Of Certifications On Perceived Trustworthiness Of Ai Systems, Magdalena Wischnewski, Nicole Krämer, Christian Janiesch, Emmanuel Müller, Theodor Schnitzler, Carina Newen
In Seal We Trust? Investigating The Effect Of Certifications On Perceived Trustworthiness Of Ai Systems, Magdalena Wischnewski, Nicole Krämer, Christian Janiesch, Emmanuel Müller, Theodor Schnitzler, Carina Newen
Human-Machine Communication
Trust certification through so-called trust seals is a common strategy to help users ascertain the trustworthiness of a system. In this study, we examined trust seals for AI systems from two perspectives: (1) In a pre-registered online study participants, we asked whether trust seals can increase user trust in AI systems, and (2) qualitatively, we investigated what participants expect from such AI seals of trust. Our results indicate mixed support for the use of AI seals. While trust seals generally did not affect the participants’ trust, their trust in the AI system increased if they trusted the seal-issuing institution. Moreover, …
Doctor Who?: Norms, Care, And Autonomy In The Attitudes Of Medical Students Towards Ai Pre And Post Chatgpt, Andrew Prahl, Kevin Tong Weng Jin
Doctor Who?: Norms, Care, And Autonomy In The Attitudes Of Medical Students Towards Ai Pre And Post Chatgpt, Andrew Prahl, Kevin Tong Weng Jin
Human-Machine Communication
This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, and beliefs about human and machine autonomy. Semi-structured interviews were conducted. Wave one occurred six-months prior to the public release of ChatGPT; wave two occurred in the 6 months following. Three themes emerged: AI is tomorrow, wishing for the AI ouvrier, and human contrasts. Two differences were noted pre- versus post-ChatGPT: (1) participants began to view machinery instead of themselves as the …
External And Internal Attribution In Human-Agent Interaction: Insights From Neuroscience And Virtual Reality, Nina Lauharatanahirun, Andrea Won, Angel Hsing-Chi Hwang
External And Internal Attribution In Human-Agent Interaction: Insights From Neuroscience And Virtual Reality, Nina Lauharatanahirun, Andrea Won, Angel Hsing-Chi Hwang
Human-Machine Communication
Agents are designed in the image of humans, both internally and externally. The internal systems of agents imitate the human brain, both at the levels of hardware (i.e., neuromorphic computing) and software (i.e., neural networks). Furthermore, the external appearance and behaviors of agents are designed by people and based on human data. Sometimes, these humanlike qualities of agents are purposely selected to increase their social influence over human users, and sometimes the human factors that influence perceptions of agents are hidden. Inspired by Blascovich’s “threshold of social influence’, a model designed to explain the effects of different methods of anthropomorphizing …
Chatbot Vs. Human: The Impact Of Responsive Conversational Features On Users’ Responses To Chat Advisors, Stefanie H. Klein, Sonja Utz
Chatbot Vs. Human: The Impact Of Responsive Conversational Features On Users’ Responses To Chat Advisors, Stefanie H. Klein, Sonja Utz
Human-Machine Communication
As educational organizations increasingly consider supporting or replacing human chat advisors with chatbots, it is crucial to examine if users perceive a chatbot differently from a human. Chatbots’ conversational features may signal responsiveness and thus improve user responses. To explore this, we conducted three online experiments using a study advising setting. We computed pooled data analyses because the individual study results did not provide clear support for our hypotheses. Results indicate that users prefer human agents regarding competence and intention to use but not perceived enjoyment. Responsiveness increased likability, warmth, and satisfaction. Perceptions of the interaction mediated the responsiveness effects. …
Machine Ex Machina: A Framework Decentering The Human In Ai Design Praxis, Cait Lackey, Zizi Papacharissi
Machine Ex Machina: A Framework Decentering The Human In Ai Design Praxis, Cait Lackey, Zizi Papacharissi
Human-Machine Communication
Artificial intelligence (AI) design typically incorporates intelligence in a manner that is affirmatory of the superiority of human forms of intelligence. In this paper, we draw from relevant research and theory to propose a social-ecological design praxis of machine inclusivity that rejects the presumption of primacy afforded to human-centered AI. We provide new perspectives for how human-machine communication (HMC) scholarship can be synergistically combined with modern neuroscience’s integrated information theory (IIT) of consciousness. We propose an integrated theoretical framework with five design practice recommendations to guide how we might think about responsible and conscious AI environments of the future: symbiotic …
Gender-Targeted Substance Use Interventions For Young Cisgender Women And Transgender Women – A Scoping Review, Stephanie A. Nairn, Jason Phillips, Thomas Jones, Debbie Schmill
Gender-Targeted Substance Use Interventions For Young Cisgender Women And Transgender Women – A Scoping Review, Stephanie A. Nairn, Jason Phillips, Thomas Jones, Debbie Schmill
Faculty Scholarship and Creative Works
Polysubstance use among young people has recently become the focus of popular media, public health interventions, and research due to alarming increases in polysubstance use-related morbidity and mortality in younger age groups. Data in Canada and the U.S. indicates that morbidity and mortality due to polysubstance use among youth is increasing. Researchers have shown that adult-focused interventions for polysubstance use cannot simply be ‘mapped onto’ youth, as young people occupy lifeworlds distinct from those of older adults. Adult-focused interventions may be irrelevant and not efficacious for youth. Further, some researchers have argued there need to more gender-targeted interventions to attenuate …