Academic literature on the topic 'Patterns for computer-mediated interaction'

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Journal articles on the topic "Patterns for computer-mediated interaction"

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Yu, Bin. "Computer-Mediated Communication Systems." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (2011): 531–34. http://dx.doi.org/10.31269/triplec.v9i2.309.

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The essence of communication is to exchange and share information. Computers provide a new medium to human communication. CMC system, composed of human and computers, absorbs and then extends the advantages of all former formats of communication, embracing the instant interaction of oral communication, the abstract logics of printing dissemination, and the vivid images of movie and television. It also creates a series of new communication formats, such as Hyper Text, Multimedia etc. which are the information organizing methods, and cross-space message delivering patterns. Benefiting from the continuous development of technique and mechanism, the computer-mediated communication makes the dream of transmitting information cross space and time become true, which will definitely have a great impact on our social lives.
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Yu, Bin. "Computer-Mediated Communication Systems." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (2011): 531–34. http://dx.doi.org/10.31269/vol9iss2pp531-534.

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The essence of communication is to exchange and share information. Computers provide a new medium to human communication. CMC system, composed of human and computers, absorbs and then extends the advantages of all former formats of communication, embracing the instant interaction of oral communication, the abstract logics of printing dissemination, and the vivid images of movie and television. It also creates a series of new communication formats, such as Hyper Text, Multimedia etc. which are the information organizing methods, and cross-space message delivering patterns. Benefiting from the continuous development of technique and mechanism, the computer-mediated communication makes the dream of transmitting information cross space and time become true, which will definitely have a great impact on our social lives.
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Li, Mimi, and Wei Zhu. "Patterns of computer-mediated interaction in small writing groups using wikis." Computer Assisted Language Learning 26, no. 1 (2013): 61–82. http://dx.doi.org/10.1080/09588221.2011.631142.

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Bani Alkahtani, Mona. "Classroom Discourse Analysis of Computer-Mediated Communication during COVID-19." Arab World English Journal, no. 9 (July 24, 2023): 87–104. http://dx.doi.org/10.24093/awej/call9.6.

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In March 2020, the Saudi government announced that school and university courses were to be held online to control the COVID-19 outbreak. A sudden yet smooth movement occurred from traditional face-to-face classrooms to online courses. This shift influenced the nature of classes, the nature of the interaction, and the participants’ roles. Interaction in online classes is viewed as a form of computer-mediated communication. This paper explores the nature of computer-mediated communication in online courses at one of the major research universities in Riyadh during the COVID-19 pandemic. Using an in-depth qualitative analysis of Walsh’s (2006) framework of Self-Evaluation of Teacher talk, this study examines the nature of classroom discourse and interactions among level six students who took a content course in English and lectures were transcribed for this study. Results answer questions regarding the common interaction modes and features and how efficient they are to encourage participation during Computerized Mediated Communication. Analysis reveals that using traditional interactional features is not suitable in virtual classes.Teacher dominated classes with excessive IRFs patterns do not cultivate interaction in Computerized Mediated Communication. New modes of communication and discursive features using more interactive tools and engaging features such as referential questions promote interaction. Results provide an insight into the nature of interaction in online university classrooms. It also adds to the current literature on Computerized Mediated Communication interaction to enhance the existing practices done in classrooms.
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Ramadhana, Maulana Rezi, and Freddy Yusanto. "Computer-Mediated Communication and Family Communication among Deaf Teenager." IJDS Indonesian Journal of Disability Studies 7, no. 2 (2020): 230–38. http://dx.doi.org/10.21776/ub.ijds.2020.007.02.11.

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As a basis for parenting, communication can change patterns of interaction in the family. This study examines how computer-mediated communication (CMC) is related to and influences family communication (including conversation and conformity) in adolescents with disabilities. Participants in this study were 100 adolescents with deafness scattered in Indonesia. Through ANOVA analysis, the results show that CMC is significantly positively related to the conversation, conformity, and interaction between the two. Regression analysis found all four CMC factors as significant predictors affecting 50.4% in the climate of family communication among deaf teenagers. The findings in this study produce an empirical explanation of the CMC motive as a factor in family communication in deaf teens. Suggestions and research for the future are discussed.
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Tan, Lan Liana, Gillian Wigglesworth, and Neomy Storch. "Pair interactions and mode of communication." Sociocognitive Approaches to Second Language Pedagogy 33, no. 3 (2010): 27.1–27.24. http://dx.doi.org/10.2104/aral1027.

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In today’s second language classrooms, students are often asked to work in pairs or small groups. Such collaboration can take place face-to-face, but now more often via computer mediated communication. This paper reports on a study which investigated the effect of the medium of communication on the nature of pair interaction. The study involved six pairs of beginner participants in a Chinese class completing seven different tasks. Each task was completed twice, once face to face (FTF), and once via computer mediated communication (CMC). All pair talk was audio recorded, and on-line communication was logged. Using Storch’s (2002) model of patterns of pair interaction, five patterns were identified: collaborative, cooperative, dominant/dominant, dominant/passive and expert/novice. The medium of communication was found to affect the pattern of interaction. In CMC some pairs became more collaborative, or cooperative. The implications of these findings for language teaching, particularly for the use of CMC in language classes, are discussed.
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Tan, Lan Liana, Gillian Wigglesworth, and Neomy Storch. "Pair interactions and mode of communication." Sociocognitive Approaches to Second Language Pedagogy 33, no. 3 (2010): 27.1–27.24. http://dx.doi.org/10.1075/aral.33.3.02tan.

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In today’s second language classrooms, students are often asked to work in pairs or small groups. Such collaboration can take place face-to-face, but now more often via computer mediated communication. This paper reports on a study which investigated the effect of the medium of communication on the nature of pair interaction. The study involved six pairs of beginner participants in a Chinese class completing seven different tasks. Each task was completed twice, once face to face (FTF), and once via computer mediated communication (CMC). All pair talk was audio recorded, and on-line communication was logged. Using Storch’s (2002) model of patterns of pair interaction, five patterns were identified: collaborative, cooperative, dominant/dominant, dominant/passive and expert/novice. The medium of communication was found to affect the pattern of interaction. In CMC some pairs became more collaborative, or cooperative. The implications of these findings for language teaching, particularly for the use of CMC in language classes, are discussed.
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Lasito, Husam, and Magpika Handayani. "STUDENTS’ INTERACTION IN COMPUTER MEDIATED LEARNING: ANALYSIS OF PRACTICAL INQUIRY MODEL." Jurnal Ilmiah Spectral 9, no. 2 (2023): 078–96. http://dx.doi.org/10.47255/6e734651.

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Students’ collaboration is essential for the construction of effective,deep, and reflective learning. In the context of computer-mediated learning, students’ collaboration was facilitated by discussion forum. While discussion forum is used among distanced learners, there is still lack of knowledge on what really happens when students participate in the discussion forum. This study shed lights on students’ engagement in three discussion forums of two language skill courses (Speaking 1 and Writing 1) conducted asynchronously. The engagement was measured from (i) students’ posts or comments to see how much students’ participation in the forum, (ii) engagement patterns they formed, and (iii) how such collaboration reflected the phases of practical inquiry in online-mediated learning. Results showed that during online asynchronous seminars, students’ participation was minimal, and teachers’ posts were prevalent, with posts confirming students’ answers. This type of interaction, in turns, resulting in a one-way serial monologue – students did not response to each other posts. Analysis on practical inquiry model also confirmed the findings that students’ engagements were in the level of triggering event by which students only responded to the teacher’s thread and did not respond to each other posts. Students’ exchange of information was not negotiated, thus not allowing students to move forwards to integration and resolution phases. The findings were linked with the tasks set out by the teachers in both courses.
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Jeong, Allan. "A Guide to Analyzing Message–Response Sequences and Group Interaction Patterns in Computer‐mediated Communication." Distance Education 26, no. 3 (2005): 367–83. http://dx.doi.org/10.1080/01587910500291470.

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de Oliveira, Janaina Minelli, and Vanessa Esteve-González. "Navigating choppy discourses: A conceptual framework for understanding synchronous text-based computer-mediated communication." Text & Talk 40, no. 2 (2020): 171–93. http://dx.doi.org/10.1515/text-2020-2056.

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AbstractThis paper presents an investigation into patterns of interaction in synchronous, text-based computer-mediated communication (SCMC) with a focus on participation. The data constitute a corpus of 3,785 words from a series of interactions between student teachers performing learning activities in a three-dimensional online environment. Drawing on a systemic functional grammar perspective of language, we aim to develop a conceptual framework for understanding participation as made up of interactional patterns in students’ linguistic exchanges while performing learning activities. Our findings show that verbal negotiation that creates a shared understanding of what the group should accomplish or a common view of how to perform the activity is more frequent than strict activity organization. We argue that there are features of CMC signaling higher levels of complexity than those ordinarily found in face to face or written communication. The three broad interactional features identified – blending, turn-taking collaboration and delay endurance – corroborate our claim. This paper presents evidence that participation in text-based SCMC with learning purposes demands a disposition for collaboration and solidarity, a capacity to endure delay, and the ability to manage a conglomerate of information and communication tools without instructions on how-to processes.
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Dissertations / Theses on the topic "Patterns for computer-mediated interaction"

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Jerding, Dean Frederick. "Visualizing interaction patterns in program executions." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/9223.

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Credle, Gayna Stevens. "Student interaction patterns in electronic conference systems." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3036586.

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Kutay, Cat Computer Science &amp Engineering Faculty of Engineering UNSW. "Implementation patterns for supporting learning and group interactions." Awarded by:University of New South Wales. Computer Science and Engineering, 2006. http://handle.unsw.edu.au/1959.4/24356.

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This thesis covers research on group learning by using a computer as the medium. The computer software provides the basic blending of the students??? contributions augmented by the effects generated for the specific learning domain by a system of agents to guide the process of the students??? learning. The research is based on the approach that the computer as a medium is not an end point of the interaction. The development of agents in based on Human- Computer-Human interaction or HCH. HCH is about removing the idea that the role of the computer is that of an intelligent agent and reducing its role to that of a mixer, with the ability to insert adaptive electronic (software) components that add extra effects and depth to the product of the human-human interactions. For the computer to achieve this support, it must be able to analyse the input from the individuals and the group as a whole. Experiments have been conducted on groups working face to face, and then on groups using software developed for the research. Patterns of interaction and learning have been extracted from the logs and files of these group sessions. Also a pattern language has been developed by which to describe these patterns, so that the agent support needed to analyse and respond appropriately to each pattern can be developed. The research has led to the derivation of a structure that encompasses all the types of support required, and provides the format for implementing each type of support. The main difficulty in this work is the limited ability of computers to analyse human thoughts through their actions. However progress is made in analysing the level of approach by students to a range of learning concepts. The research identified the separate patterns that contribute to learning agents development and form a language of learning processes, and the agents derived from these patterns could in future be linked into a multi-agent system to support learning.
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Chase, Chelsea. "Using Design Patterns in User Interface Design." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342463458.

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Cowley, Niel Lester Orr. "An investigation into the use of guidelines and patterns in the interaction design process." Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1062.

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Design guidelines are used in interaction design (IxD) for physical design and for evaluating the usability of designs and interactive products. Guidelines are widely used for physical design and evaluation, but have a number of problems. IxD patterns have been proposed as an alternative to guidelines, as they are claimed to have several advantages over guidelines. A small number of empirical studies provide evidence that patterns are beneficial when used in IxD. Additional research on the usefulness of IxD patterns is required. The primary research question investigated in this thesis was thus: How useful are IxD patterns as physical design and evaluation aids in IxD, as compared to design guidelines? The role of guidelines and patterns as design and evaluation aids in IxD was investigated and a comparison of guidelines and patterns, based on a set of guideline and pattern properties, was conducted. The concept of pattern and guideline usefulness was explored and a research agenda for guidelines and patterns was identified, together with a set of research questions for an empirical study. The empirical study of the use of patterns for evaluation, redesign and new design, as compared to guidelines, was conducted at the Nelson Mandela Metropolitan University in 2004. The participants were a purposive sample of post-graduate Computing students, who were regarded as novice interaction designers. Two equivalent groups were formed, one that used patterns and one that used guidelines. Patterns were found to be as useful as guidelines when used as evaluation aids. Guidelines and patterns were identified as effective tools for identifying and explaining usability issues and design features. Best-effort matched sets of guidelines and patterns produced substantially different result sets when used to identify issues and features, with fairly low overlap. A substantial evaluator effect was observed for the use of guidelines and patterns for evaluation, and the results obtained were similar to those obtained by Molich et al. in their Comparative Usability Evaluation (CUE) studies. There was no statistically significant difference between the effectiveness of guidelines and patterns for evaluation. There was also no statistically significant difference between the perceived efficiency, effectiveness and satisfaction in use of guidelines and patterns for evaluation. Guidelines and patterns were found to be used in similar ways for evaluation. Patterns were found to be more effective than guidelines for redesign. Patterns were found to be as useful as guidelines when used for new design. There was no statistically significant difference between the effectiveness of guidelines and patterns for new design. There was also no statistically significant difference between the perceived efficiency, effectiveness and satisfaction in use of guidelines and patterns for redesign and new design. Guidelines and patterns were found to be used in similar ways for design. There was no statistically significant difference between the perceived usefulness of the format, content, ease of learning, and usefulness as personal and shared design languages, of guidelines and patterns. Both participant groups were equally agreeable to using guidelines and patterns in the future. The perceived usefulness of pattern collections was found to depend on the usability of the collection interface and the content quality of the patterns. The results of the empirical study thus provided empirical evidence that patterns were as useful as guidelines for evaluation and new design, and were perceived as positively as guidelines were. Patterns were found to be superior to guidelines for redesign. Patterns can therefore be used with a measure of confidence as early stage design aids for physical design and evaluation in the future. In addition to these findings, a number of opportunities for further research were identified.
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Seidel, Niels. "Interaction Design Patterns und CSCL-Scripts für Videolernumgebungen." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-233756.

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In den letzten Jahren haben Lernvideos im Bereich des informellen und formellen Lernens an Bedeutung gewonnen. Inwieweit Lernende bei der Nutzung von Videos unterstützt werden und Lehrende didaktische Szenarien umsetzen können, hängt jedoch von der eingesetzten Videolernumgebung ab. Es ist Anliegen der vorliegende Arbeit, Prinzipien des User Interface Designs sowie Komponenten und Mechanismen videobasierter Lehr-Lern-Szenarien in Bezug auf Videolernumgebungen zu identifizieren, zu beschreiben und technisch zu realisieren. Das Ziel besteht darin, Gestaltungsprinzipien in Form von Interaction Design Patterns zu erarbeiten und computergestützte videobasierte Lehr-Lern-Szenarien mit Hilfe von CSCL-Scripts durch eine geeignete Spezifikation und Formalisierung zu realisieren. Für die Erarbeitung der Interaction Design Patterns wurden 121 Videolernumgebungen hinsichtlich 50 Kategorien in einer Inhaltsanalyse empirisch untersucht und dokumentiert. Unter Berücksichtigung ähnlicher Patterns aus thematisch verwandten Pattern Languages und den Erfahrungen aus der Implementierung und dem Einsatz von Videolernumgebungen entstanden 45 Interaction Design Patterns für verbreitete Lösungen für wiederkehrende Probleme bei der Gestaltung und Entwicklung von Videolernumgebungen. Diese Patterns wurden auf Pattern Konferenzen diskutiert und im Anschluss evaluiert sowie bei der Konzeption, Entwicklung und Bewertung mehrerer Videolernumgebungen angewendet. Zudem wurde das Software Framework VI-TWO vorgestellt, mit dem sich fast alle Patterns auf einfache Weise in Web-Anwendungen realisieren lassen. Zur Spezifikation videobasierter CSCL-Scripts wurden existierende videobasierte und nicht videobasierte Scripts analysiert. Im Ergebnis unterschieden sich videobasierte CSCL-Scripts von allgemeinen CSCL-Scripts vor allem hinsichtlich der mit dem Video verknüpften oder darin verankerten Aufgaben und Aktivitäten. Videos werden dabei nicht als monolithische Einheiten, sondern als zeitkontinuierliche Medien betrachtet, in denen weitere Informationen zeitgenau verankert und Lernaktivitäten stattfinden können. Außerdem ließen sich drei Typen videobasierter CSCL-Scripts identifizieren: (1) Scripts zur Analyse und Diskussion von Videoinhalten, (2) Peer Annotation Scripts einschließlich dem Peer Assessment und (3) Jigsaw-Scripts, die das problembasierte Lernen mit Hilfe von Videos ermöglichen. Unabhängig davon variiert die Komplexität der Scripts auf drei Stufen: (1) sofern voneinander abgegrenzte zeitliche Phasen von Lernaktivitäten bestehen, (2) wenn darüber hinaus die Teilnehmer innerhalb von Gruppen Aufgaben bearbeiten (intra-group) und (3) falls außerdem Aufgaben auch gruppenübergreifend bearbeitet werden (inter-group). Auf Grundlage der Spezifikation konnte ein Datenmodell und ein Modell für die nutzerseitige Modellierung von Scripts verschiedener Komplexitätsstufen sowie Typen entwickelt und in dem CSCL-System VI-LAB realisiert werden. Diese Arbeit leistet in zweifacher Hinsicht einen Beitrag zur Forschung im Bereich E-Learning. Zum einen beschreiben die Interaction Design Patterns wiederkehrende User Interface Lösungen und stellen somit ein Hilfsmittel für Designer, Software Entwickler und Lehrende bei der Gestaltung und Implementierung von Videolernumgebungen dar. Zum anderen wurden durch die Spezifikation und softwareseitige Umsetzung videobasierter CSCL-Scripts Voraussetzungen geschaffen, die den praktischen Einsatz und die weitere Untersuchung des kollaborativen Lernens mit Videos ermöglichen.
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Elizalde, Edith. "The role of help resources in users' solution patterns comparison of methods /." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Neem, Laahanen William. "Dark Patterns in Swedish Ecommerce Websites." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300396.

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Dark patterns are a type of user experience technique and persuasive design where, with the help of knowledge about human behavior, a design has been created that enables users or customers to make disadvantageous decisions that you would not otherwise have made. One of the areas in which dark patterns have come to be used is ecommerce websites. This study aims to find out what type of dark patterns are used on Swedish shopping websites, how often they occur, and to gain an understanding of how people who work in the industry view the phenomenon. To do this, a taxonomy based on previous work in dark patterns has been developed. This taxonomy was used to manually analyze 96 of the largest Swedish e-commerce websites. The results showed that Hidden Costs, Low Stock Messages, Misdirections and Activity Messages were the most frequently occurring dark patterns on these websites. The interviews also showed that people working in the ecommerce industry are aware that dark patterns are used. However, they do not see it as a big problem that e-commerce websites try to influence the customer to make certain decisions as long as they do not directly use false information. With this report, we contribute insights into how, and to what extent, dark patterns are used in Swedish shopping websites and therefore also raise the awareness of coercive design and its effects.<br>Dark patterns är en typ av användarupplevelse och konverterande design där man med hjälp av psykologi och kunskap inom mänskligt beteende skapat en design som möjliggör att du tar ogynnsamma beslut som du annars inte hade tagit. Ett av de områden som dark patterns har kommit att användas på är e-handelshemsidor. Denna studie syftar till att ta reda på vilken typ av dark patterns som används på svenska shoppinghemsidor, hur ofta de förekommer, samt få en förståelse för hur människor som jobbar inom branschen ser på fenomenet. För att göra detta har en taxonomi baserat på tidigare arbeten inom dark patterns tagits fram. Denna taxonomi har sedan fått utgöra grunden för den manuella undersökning av de 96 största svenska e-handelshemsidorna som gjorts. Resultatet visade på att Hidden Costs, Low Stock Messages, Misdirections, och Activity Messages var de allra mest frekvent förekommande dark patterns på dessa hemsidor. Intervjuerna visade även på att folk inom branschen är medvetna om att dark patterns används och ser det inte som något stort problem att man på e-handelshemsidor försöker påverka kunden till att ta särskilda beslut, så länge man inte direkt använder sig av falska uppgifter. Med denna rapport bidrar vi med insikter hur dark patterns används inom Sverige på e-handelshemsidor och därmed också för att öka medvetenheten om tvingande design och effekterna av den.
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Adekile, Olusegun. "Object-oriented software development effort prediction using design patterns from object interaction analysis." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2329.

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Jan, Asim. "Deep learning based facial expression recognition and its applications." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15944.

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Facial expression recognition (FER) is a research area that consists of classifying the human emotions through the expressions on their face. It can be used in applications such as biometric security, intelligent human-computer interaction, robotics, and clinical medicine for autism, depression, pain and mental health problems. This dissertation investigates the advanced technologies for facial expression analysis and develops the artificial intelligent systems for practical applications. The first part of this work applies geometric and texture domain feature extractors along with various machine learning techniques to improve FER. Advanced 2D and 3D facial processing techniques such as Edge Oriented Histograms (EOH) and Facial Mesh Distances (FMD) are then fused together using a framework designed to investigate their individual and combined domain performances. Following these tests, the face is then broken down into facial parts using advanced facial alignment and localising techniques. Deep learning in the form of Convolutional Neural Networks (CNNs) is also explored also FER. A novel approach is used for the deep network architecture design, to learn the facial parts jointly, showing an improvement over using the whole face. Joint Bayesian is also adapted in the form of metric learning, to work with deep feature representations of the facial parts. This provides a further improvement over using the deep network alone. Dynamic emotion content is explored as a solution to provide richer information than still images. The motion occurring across the content is initially captured using the Motion History Histogram descriptor (MHH) and is critically evaluated. Based on this observation, several improvements are proposed through extensions such as Average Spatial Pooling Multi-scale Motion History Histogram (ASMMHH). This extension adds two modifications, first is to view the content in different spatial dimensions through spatial pooling; influenced by the structure of CNNs. The other modification is to capture motion at different speeds. Combined, they have provided better performance over MHH, and other popular techniques like Local Binary Patterns - Three Orthogonal Planes (LBP-TOP). Finally, the dynamic emotion content is observed in the feature space, with sequences of images represented as sequences of extracted features. A novel technique called Facial Dynamic History Histogram (FDHH) is developed to capture patterns of variations within the sequence of features; an approach not seen before. FDHH is applied in an end to end framework for applications in Depression analysis and evaluating the induced emotions through a large set of video clips from various movies. With the combination of deep learning techniques and FDHH, state-of-the-art results are achieved for Depression analysis.
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Books on the topic "Patterns for computer-mediated interaction"

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Schümmer, Till. Patterns for Computer-Mediated Interaction. John Wiley & Sons, Ltd., 2007.

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Stephan, Lukosch, ed. Patterns for computer-mediated interaction. John Wiley, 2007.

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Kunert, Tibor. User-Centered Interaction Design Patterns for Interactive Digital Television Applications. Springer-Verlag London, 2009.

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Ahmed, Seffah, Vanderdonckt Jean, and Desmarais Michel C, eds. Human-centered software engineering: Software engineering models, patterns and architectures for HCI. Springer, 2009.

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B, Lengel Laura, and Tomic Alice, eds. Computer mediated communication: Social interaction and the Internet. Sage Publications, 2004.

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Alice, Tomic, and Lengel Laura B, eds. Computer mediated communication: Social interaction and the Internet. SAGE, 2004.

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Eric, Berkman, ed. Designing mobile interfaces. O'Reilly, 2011.

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Fedosov, Anton. Supporting the Design of Technology-Mediated Sharing Practices. Carl Grossmann Verlag, 2020.

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Leigh, Keeble, and Loader Brian 1958-, eds. Community informatics: Shaping computer-mediated social relations. Routledge, 2002.

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Leigh, Keeble, and Loader Brian 1958-, eds. Community informatics: Shaping computer-mediated social relations. Routledge, 2001.

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Book chapters on the topic "Patterns for computer-mediated interaction"

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Marcus, Aaron. "Patterns Within Patterns." In Human–Computer Interaction Series. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6744-0_13.

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Yu, Yaxin, Ke Yan, Xinhua Zhu, Guoren Wang, Dan Luo, and Suresh Sood. "Mining Emerging Patterns of PIU from Computer-Mediated Interaction Events." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55192-5_6.

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Barros, Alistair, Marlon Dumas, and Arthur H. M. ter Hofstede. "Service Interaction Patterns." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11538394_20.

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Seffah, Ahmed. "From HCI Patterns Languages to Pattern- Oriented Design." In Human–Computer Interaction Series. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15687-3_2.

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Ziegler, Jürgen, and Markus Specker. "Navigation Patterns – Pattern Systems Based on Structural Mappings." In Engineering Human Computer Interaction and Interactive Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11431879_14.

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Hsu, Hsiu-Chen. "Chapter 7. Peer interaction in collaborative L2 writing across synchronous and asynchronous CMC modes." In Language Learning & Language Teaching. John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/lllt.59.07hsu.

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This study examined the patterns and focus of peer interaction in collaborative L2 writing across text-based synchronous and asynchronous computer-mediated communication (SCMC and ACMC). Participants comprised 22 college EFL learners, who completed two Google-Docs-based collaborative expository writing tasks via text-based SCMC or text-based ACMC. Google Docs comments and history were analyzed. The predominant interaction pattern in text-based SCMC was expert/novice, followed by the collaborative pattern. In text-based ACMC, dominant/dominant, dominant/passive, and dominant/withdrawn were the predominant patterns. During peer interaction, learners focused on content and language rather than on organization, regardless of modality. In text-based SCMC, learners focused equally on language and content. In text-based ACMC, learners focused more on language than on content.
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Sloan, David, and Sarah Horton. "Usability, Universal Usability, and Design Patterns." In Human–Computer Interaction Series. Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-7440-0_24.

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Seffah, Ahmed. "Patterns in Web-Based Information Systems." In Human–Computer Interaction Series. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15687-3_9.

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Seffah, Ahmed. "HCI Patterns in Multiplatform Mobile Applications Reengineering." In Human–Computer Interaction Series. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15687-3_6.

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Varoudis, Tasos. "Ambient Displays: Influencing Movement Patterns." In Human-Computer Interaction – INTERACT 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23768-3_5.

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Conference papers on the topic "Patterns for computer-mediated interaction"

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Li, Zhiqiang. "Applying CycleGAN for Style Transfer of Modern Scenes to Changsha Kiln Patterns in Museum Exhibits." In 2024 5th International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI). IEEE, 2024. https://doi.org/10.1109/ichci63580.2024.10807939.

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Schummer, Till, Jan Borchers, John C. Thomas, and Uwe Zdun. "Human-computer-human interaction patterns." In Extended abstracts of the 2004 conference. ACM Press, 2004. http://dx.doi.org/10.1145/985921.986200.

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Kruschitz, Christian, and Martin Hitz. "Are human-computer interaction design patterns really used?" In the 6th Nordic Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1868914.1869011.

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Arribas Velasco, Aitor, John McGrory, and Damon Berry. "Patterns within Patterns within the Smart Living Experience." In Proceedings of the 32nd International BCS Human Computer Interaction Conference. BCS Learning & Development, 2018. http://dx.doi.org/10.14236/ewic/hci2018.70.

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Zhang, Jiajing, Kang Zhang, Ren Peng, and Jinhui Yu. "Computer-aided generation of mandala thangka patterns." In VINCI '17: 10th International Symposium on Visual Information Communication and Interaction. ACM, 2017. http://dx.doi.org/10.1145/3105971.3105974.

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Halevi, Shai, Yuval Ishai, Abhishek Jain, Eyal Kushilevitz, and Tal Rabin. "Secure Multiparty Computation with General Interaction Patterns." In ITCS'16: Innovations in Theoretical Computer Science. ACM, 2016. http://dx.doi.org/10.1145/2840728.2840760.

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Kresnye, K. Cassie, and Patrick C. Shih. "Movement Patterns as Enrichment." In ACI'2020: Seventh International Conference on Animal-Computer Interaction. ACM, 2020. http://dx.doi.org/10.1145/3446002.3446128.

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Palacios, Alfons, Roberto García, Marta Oliva, and Toni Granollers. "Building a unified repository of interaction patterns." In Interacción '15: XVI International Conference on Human Computer Interaction. ACM, 2015. http://dx.doi.org/10.1145/2829875.2829928.

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Iacob, Claudia. "Using design patterns in collaborative interaction design processes." In CSCW '12: Computer Supported Cooperative Work. ACM, 2012. http://dx.doi.org/10.1145/2141512.2141554.

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Bahulkar, Ashwin, and Boleslaw K. Szymanski. "Interaction Patterns in a Multilayer Social Network." In 2018 27th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2018. http://dx.doi.org/10.1109/icccn.2018.8487374.

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Reports on the topic "Patterns for computer-mediated interaction"

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Yogev, David, Ricardo Rosenbusch, Sharon Levisohn, and Eitan Rapoport. Molecular Pathogenesis of Mycoplasma bovis and Mycoplasma agalactiae and its Application in Diagnosis and Control. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7573073.bard.

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Mycoplasma bovis and M. agalactiae are two phylogenetically related mycoplasmas which cause economically significant diseases in their respective bovine or small ruminant hosts. These organisms cause persistent asymptomatic infections that can result in severe outbreaks upon introduction of carrier animals into susceptible herds. Little is known about the mechanisms underlying mycoplasma-host interaction, variation in virulence, or of the factors enabling avoidance of the host immune system. In recent years it has become apparent that the ability of pathogenic microorganisms to rapidly alter surface antigenic structures and to fine tune their antigenicity, a phenomena called antigenic variation, is one of the most effective strategies used to escape immune destruction and to establish chronic infections. Our discovery of a novel genetic system, mediating antigenic variation in M. bovis (vsp) as well as in M. agalactiae (avg) served as a starting point for our proposal which included the following objectives: (i) Molecular and functional characterization of the variable surface lipoproteins (Vsp) system of M. bovis and comparison with the Vsp-counterpart in M. agalactiae (ii) Determination of the role of Vsp proteins in the survival of M. bovis when confronted by host defense factors, (iii) Assessment of Vsp-based genetic and antigenic typing of M. bovis and M. agalactiae for epidemiology of infection and (iv) Improvement of diagnostic tests for M. bovis and M. agalactiae based on the vsp-and vsp-analogous systems. We have carried out an extensive molecular characterization of the vsp system and unravelled the precise molecular mechanism responsible for the generation of surface antigenic variation in M. bovis. Our data clearly demonstrated that the two pathogenic mycoplasma species possess large gene families encoding variable lipoprotein antigens that apparently play an important role in immune evasion and in pathogen-host interaction during infection. Phase variable production of these antigens was found to be mediated by a novel molecular mechanism utilizing double site-specific DNA inversions via an intermediate vsp configuration. Studies in model systems indicate that phase variation of VspA is relevant in interaction between M. bovis and macrophages or monocytes, a crucial stage in pathogenesis. Using an ELISA test with captured VspA as an antigen, phase variation was shown to occur in vivo and under field conditions. Genomic rearrangements in the avg gene family of M. agalactiae were shown to occur in vivo and may well have a role in evasion of host defences and establishment of chronic infection. An epidemiological study indicated that patterns of vsp-related antigenic variation diverge rapidly in an M. bovis infected herd. Marked divergence was also found with avg-based genomic typing of M. agalactiae in chronically infected sheep. However, avg-genomic fingerprints were found to be relatively homogeneous in different animals during acute stages of an outbreak of Contagious Agalactiae, and differ between unrelated outbreaks. These data support the concept of vsp-based genomic typing but indicate the necessity for further refinement of the methodology. The molecular knowledge on these surface antigens and their encoding genes provides the basis for generating specific recombinant tools and serological methods for serodiagnosis and epidemiological purposes. Utilization of these methods in the field may allow differentiating acutely infected herds from chronic herds and disease-free herds. In addition the highly immunogenic nature of these lipoproteins may facilitate the design of protective vaccine against mycoplasma infections.
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Grumet, Rebecca, and Benjamin Raccah. Identification of Potyviral Domains Controlling Systemic Infection, Host Range and Aphid Transmission. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7695842.bard.

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Potyviruses form one of the largest and most economically important groups of plant viruses. Individual potyviruses and their isolates vary in symptom expression, host range, and ability to overcome host resistance genes. Understanding factors influencing these biological characteristics is of agricultural importance for epidemiology and deployment of resistance strategies. Cucurbit crops are subject to severe losses by several potyviruses including the highly aggressive and variable zucchini yellow mosaic virus (ZYMV). In this project we sought to investigate protein domains in ZYMV that influence systemic infection and host range. Particular emphasis was on coat protein (CP), because of known functions in both cell to cell and long distance movement, and helper component-protease (HC-Pro), which has been implicated to play a role in symptom development and long distance movement. These two genes are also essential for aphid mediated transmission, and domains that influence disease development may also influence transmissibility. The objectives of the approved BARD project were to test roles of specific domains in the CP and HC-Pro by making sequence alterations or switches between different isolates and viruses, and testing for infectivity, host range, and aphid transmissibility. These objectives were largely achieved as described below. Finally, we also initiated new research to identify host factors interacting with potyviral proteins and demonstrated interaction between the ZYMV RNA dependent RNA polymerase and host poly-(A)-binding protein (Wang et al., in press). The focus of the CP studies (MSU) was to investigate the role of the highly variable amino terminus (NT) in host range determination and systemic infection. Hybrid ZYMV infectious clones were produced by substituting the CP-NT of ZYMV with either the CP-NT from watermelon mosaic virus (overlapping, but broader host range) or tobacco etch virus (TEV) (non- overlapping host range) (Grumet et al., 2000; Ullah ct al., in prep). Although both hybrid viruses initially established systemic infection, indicating that even the non-cucurbit adapted TEV CP-NT could facilitate long distance transport in cucurbits, after approximately 4-6, the plants inoculated with the TEV-CPNT hybrid exhibited a distinct recovery of reduced symptoms, virus titer, and virus specific protection against secondary infection. These results suggest that the plant recognizes the presence of the TEV CP-NT, which has not been adapted to infection of cucurbits, and initiates defense responses. The CP-NT also appears to play a role in naturally occurring resistance conferred by the zym locus in the cucumber line 'Dina-1'. Patterns of virus accumulation indicated that expression of resistance is developmentally controlled and is due to a block in virus movement. Switches between the core and NT domains of ZYMV-NAA (does not cause veinal chlorosis on 'Dina-1'), and ZYMV-Ct (causes veinal chlorosis), indicated that the resistance response likely involves interaction with the CP-NT (Ullah and Grumet, submitted). At the Volcani Center the main thrust was to identify domains in the HC-Pro that affect symptom expression or aphid transmissibility. From the data reported in the first and second year report and in the attached publications (Peng et al. 1998; Kadouri et al. 1998; Raccah et al. 2000: it was shown that: 1. The mutation from PTK to PAK resulted in milder symptoms of the virus on squash, 2. Two mutations, PAK and ATK, resulted in total loss of helper activity, 3. It was established for the first time that the PTK domain is involved in binding of the HC-Pro to the potyvirus particle, and 4. Some of these experiments required greater amount of HC-Pro, therefore a simpler and more efficient purification method was developed based on Ni2+ resin.
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Avni, Adi, and Gitta L. Coaker. Proteomic investigation of a tomato receptor like protein recognizing fungal pathogens. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600030.bard.

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Maximizing food production with minimal negative effects on the environment remains a long-term challenge for sustainable food production. Microbial pathogens cause devastating diseases, minimizing crop losses by controlling plant diseases can contribute significantly to this goal. All plants possess an innate immune system that is activated after recognition of microbial-derived molecules. The fungal protein Eix induces defense responses in tomato and tobacco. Plants recognize Eix through a leucine-rich-repeat receptor- like-protein (LRR-RLP) termed LeEix. Despite the knowledge obtained from studies on tomato, relatively little is known about signaling initiated by RLP-type immune receptors. The focus of this grant proposal is to generate a foundational understanding of how the tomato xylanase receptor LeEix2 signals to confer defense responses. LeEix2 recognition results in pattern triggered immunity (PTI). The grant has two main aims: (1) Isolate the LeEix2 protein complex in an active and resting state; (2) Examine the biological function of the identified proteins in relation to LeEix2 signaling upon perception of the xylanase elicitor Eix. We used two separate approaches to isolate receptor interacting proteins. Transgenic tomato plants expressing LeEix2 fused to the GFP tag were used to identify complex components at a resting and activated state. LeEix2 complexes were purified by mass spectrometry and associated proteins identified by mass spectrometry. We identified novel proteins that interact with LeEix receptor by proteomics analysis. We identified two dynamin related proteins (DRPs), a coiled coil – nucleotide binding site leucine rich repeat (SlNRC4a) protein. In the second approach we used the split ubiquitin yeast two hybrid (Y2H) screen system to identified receptor-like protein kinase At5g24010-like (SlRLK-like) (Solyc01g094920.2.1) as an interactor of LeEIX2. We examined the role of SlNRC4a in plant immunity. Co-immunoprecipitation demonstrates that SlNRC4a is able to associate with different PRRs. Physiological assays with specific elicitors revealed that SlNRC4a generally alters PRR-mediated responses. SlNRC4a overexpression enhances defense responses while silencing SlNRC4 reduces plant immunity. We propose that SlNRC4a acts as a non-canonical positive regulator of immunity mediated by diverse PRRs. Thus, SlNRC4a could link both intracellular and extracellular immune perception. SlDRP2A localizes at the plasma membrane. Overexpression of SlDRP2A increases the sub-population of LeEIX2 inVHAa1 endosomes, and enhances LeEIX2- and FLS2-mediated defense. The effect of SlDRP2A on induction of plant immunity highlights the importance of endomembrane components and endocytosis in signal propagation during plant immune . The interaction of LeEIX2 with SlRLK-like was verified using co- immunoprecipitation and a bimolecular fluorescence complementation assay. The defence responses induced by EIX were markedly reduced when SlRLK-like was over-expressed, and mutation of slrlk-likeusing CRISPR/Cas9 increased EIX- induced ethylene production and SlACSgene expression in tomato. Co-expression of SlRLK-like with different RLPs and RLKs led to their degradation, apparently through an endoplasmic reticulum-associated degradation process. We provided new knowledge and expertise relevant to expression of specific be exploited to enhance immunity in crops enabling the development of novel environmentally friendly disease control strategies.
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Sessa, Guido, and Gregory B. Martin. molecular link from PAMP perception to a MAPK cascade associated with tomato disease resistance. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7597918.bard.

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The research problem: The detection of pathogen-associated molecular patterns (PAMPs) by plant pattern recognition receptors (PRRs) is a key mechanism by which plants activate an effective immune response against pathogen attack. MAPK cascades are important signaling components downstream of PRRs that transduce the PAMP signal to activate various defense responses. Preliminary experiments suggested that the receptor-like cytoplasmickinase (RLCK) Mai5 plays a positive role in pattern-triggered immunity (PTI) and interacts with the MAPKKK M3Kε. We thus hypothesized that Mai5, as other RLCKs, functions as a component PRR complexes and acts as a molecular link between PAMP perception and activation of MAPK cascades. Original goals: The central goal of this research was to investigate the molecular mechanisms by which Mai5 and M3Kε regulate plant immunity. Specific objectives were to: 1. Determine the spectrum of PAMPs whose perception is transmitted by M3Kε; 2. Identify plant proteins that act downstream of M3Kε to mediate PTI; 3. Investigate how and where Mai5 interacts with M3Kε in the plant cell; 4. Examine the mechanism by which Mai5 contributes to PTI. Changes in research directions: We did not find convincing evidence for the involvement of M3Kε in PTI signaling and substituted objectives 1 and 3 with research activities aimed at the analysis of transcriptomic profiles of tomato plants during the onset of plant immunity, isolation of the novel tomato PRR FLS3, and investigation of the involvement of the RLCKBSKs in PTI. Main achievements during this research program are in the following major areas: 1. Functional characterization of Mai5. The function of Mai5 in PTI signaling was demonstrated by testing the effect of silencing the Mai5 gene by virus-induced gene silencing (VIGS) experiments and in cell death assays. Domains of Mai5 that interact with MAPKKKs and subcellular localization of Mai5 were analyzed in detail. 2. Analysis of transcriptional profiles during the tomato immune responses to Pseudomonas syringae (Pombo et al., 2014). We identified tomato genes whose expression is induced specifically in PTI or in effector-triggered immunity (ETI). Thirty ETI-specific genes were examined by VIGS for their involvement in immunity and the MAPKKK EPK1, was found to be required for ETI. 3. Dissection of MAP kinase cascades downstream of M3Kε (Oh et al., 2013; Teper et al., 2015). We identified genes that encode positive (SGT and EDS1) and negative (WRKY1 and WRKY2) regulators of the ETI-associated cell death mediated by M3Kε. In addition, the MKK2 MAPKK, which acts downstream of M3Kε, was found to interact with the MPK3 MAPK and specific MPK3 amino acids involved interaction were identified and found to be required for induction of cell death. We also identified 5 type III effectors of the bacterial pathogen Xanthomonaseuvesicatoria that inhibited cell death induced by components of ETI-associated MAP kinase cascades. 4. Isolation of the tomato PRR FLS3 (Hind et al., submitted). FLS3, a novel PRR of the LRR-RLK family that specifically recognizes the flagellinepitope flgII-28 was isolated. FLS3 was shown to bind flgII-28, to require kinase activity for function, to act in concert with BAK1, and to enhance disease resistance to Pseudomonas syringae. 5. Functional analysis of RLCKs of the brassinosteroid signaling kinase (BSK) family.Arabidopsis and tomato BSKs were found to interact with PRRs. In addition, certain ArabidospsisBSK mutants were found to be impaired in PAMP-induced resistance to Pseudomonas syringae. Scientific and agricultural significance: Our research activities discovered and characterized new molecular components of signaling pathways mediating recognition of invading pathogens and activation of immune responses against them. Increased understanding of molecular mechanisms of immunity will allow them to be manipulated by both molecular breeding and genetic engineering to produce plants with enhanced natural defense against disease.
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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Elias Ioup, et al. KANICE : Kolmogorov-Arnold networks with interactive convolutional elements. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49791.

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We introduce KANICE, a novel neural architecture that combines Convolutional Neural Networks (CNNs) with Kolmogorov-Arnold Network (KAN) principles. KANICE integrates Interactive Convolutional Blocks (ICBs) and KAN linear layers into a CNN framework. This leverages KANs’ universal approximation capabilities and ICBs’ adaptive feature learning. KANICE captures complex, non-linear data relationships while enabling dynamic, context-dependent feature extraction based on the Kolmogorov-Arnold representation theorem. We evaluated KANICE on four datasets: MNIST, Fashion-MNIST, EMNIST, and SVHN, comparing it against standard CNNs, CNN-KAN hybrids, and ICB variants. KANICE consistently outperformed baseline models, achieving 99.35% accuracy on MNIST and 90.05% on the SVHN dataset. Furthermore, we introduce KANICE-mini, a compact variant designed for efficiency. A comprehensive ablation study demonstrates that KANICE-mini achieves comparable performance to KANICE with significantly fewer parameters. KANICE-mini reached 90.00% accuracy on SVHN with 2,337,828 parameters, compared to KAN-ICE’s 25,432,000. This study highlights the potential of KAN-based architectures in balancing performance and computational efficiency in image classification tasks. Our work contributes to research in adaptive neural networks, integrates mathematical theorems into deep learning architectures, and explores the trade-offs between model complexity and performance, advancing computer vision and pattern recognition. The source code for this paper is publicly accessible through our GitHub repository (https://github.com/mferdaus/kanice).
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Pasupuleti, Murali Krishna. Augmented Human Intelligence: Converging Generative AI, Quantum Computing, and XR for Enhanced Human-Machine Synergy. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv525.

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Abstract: Augmented Human Intelligence (AHI) represents a paradigm shift in human-AI collaboration, leveraging Generative AI, Quantum Computing, and Extended Reality (XR) to enhance cognitive capabilities, decision-making, and immersive interactions. Generative AI enables real-time knowledge augmentation, automated creativity, and adaptive learning, while Quantum Computing accelerates AI optimization, pattern recognition, and complex problem-solving. XR technologies provide intuitive, immersive environments for AI-driven collaboration, bridging the gap between digital and physical experiences. The convergence of these technologies fosters hybrid intelligence, where AI amplifies human potential rather than replacing it. This research explores AI-augmented cognition, quantum-enhanced simulations, and AI-driven spatial computing, addressing ethical, security, and societal implications of human-machine synergy. By integrating decentralized AI governance, privacy-preserving AI techniques, and brain-computer interfaces, this study outlines a scalable framework for next-generation augmented intelligence applications in healthcare, enterprise intelligence, scientific discovery, and immersive learning. The future of AHI lies in hybrid intelligence systems that co-evolve with human cognition, ensuring responsible and transparent AI augmentation to unlock new frontiers in human potential. Keywords: Augmented Human Intelligence, Generative AI, Quantum Computing, Extended Reality, XR, AI-driven Cognition, Hybrid Intelligence, Brain-Computer Interfaces, AI Ethics, AI-enhanced Learning, Spatial Computing, Quantum AI, Immersive AI, Human-AI Collaboration, Ethical AI Frameworks.
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Gafni, Yedidya, and Vitaly Citovsky. Molecular interactions of TYLCV capsid protein during assembly of viral particles. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7587233.bard.

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Tomato yellow leaf curl geminivirus (TYLCV) is a major pathogen of cultivated tomato, causing up to 100% crop loss in many parts of the world. The present proposal, a continuation of a BARD-funded project, expanded our understanding of the molecular mechanisms by which CP molecules, as well as its pre-coat partner V2, interact with each other (CP), with the viral genome, and with cellular proteins during assembly and movement of the infectious virions. Specifically, two major objectives were proposed: I. To study in detail the molecular interactions between CP molecules and between CP and ssDNA leading to assembly of infectious TYLCV virions. II. To study the roles of host cell factors in TYLCV assembly. Our research toward these goals has produced the following major achievements: • Characterization of the CP nuclear shuttling interactor, karyopherin alpha 1, its pattern of expression and the putative involvement of auxin in regulation of its expression. (#1 in our list of publication, Mizrachy, Dabush et al. 2004). • Identify a single amino acid in the capsid protein’s sequence that is critical for normal virus life-cycle. (#2 in our list of publications, Yaakov, Levy et al. in preparation). • Development of monoclonal antibodies with high specificity to the capsid protein of TYLCV. (#3 in our list of publications, Solmensky, Zrachya et al. in press). • Generation of Tomato plants resistant to TYLCV by expressing transgene coding for siRNA targeted at the TYLCV CP. (#4 in our list of publications, Zrachya, Kumar et al. in press). •These research findings provided significant insights into (i) the molecular interactions of TYLCV capsid protein with the host cell nuclear shuttling receptor, and (ii) the mechanism by which TYLCV V2 is involved in the silencing of PTGS and contributes to the virus pathogenicity effect. Furthermore, the obtained knowledge helped us to develop specific strategies to attenuate TYLCV infection, for example, by blocking viral entry into and/or exit out of the host cell nucleus via siRNA as we showed in our publication recently (# 4 in our list of publications). Finally, in addition to the study of TYLCV nuclear import and export, our research contributed to our understanding of general mechanisms for nucleocytoplasmic shuttling of proteins and nucleic acids in plant cells. Also integration for stable transformation of ssDNA mediated by our model pathogen Agrobacterium tumefaciens led to identification of plant specific proteins involved.
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Bloch, G., and H. S. Woodard. regulation of size related division of labor in a key pollinator and its impact on crop pollination efficacy. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134168.bard.

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Despite the rapid increase in reliance on bumble bees for food production and security, there are many critical knowledge gaps in our understanding of bumble bee biology that limit their colony production, commercial management, and pollination services. Our project focuses on the social, endocrine, and molecular processes regulating body size in the two bumble bee species most important to agriculture: Bombus terrestris in Israel, and B. impatiens in the USA. Variation in body size underline both caste (queen/worker) differentiation and division of labor among workers (foragers are typically larger than nest bees), two hallmarks of insect sociality which are also crucial for the commercial rearing and crop pollination services of bumble bees. Our project has generated several fundamental new insights into the biology of bumble bees, which can be integrated into science-based management strategies for commercial pollination. Using transcriptomic and behavioral approaches we show that in spite of high flexibility, task performance (brood care or foraging) in bumble bee colonies is associated with physiological variation and differential brain gene expression and RNA editing patterns. We further showed that interactions between the brood, the queen, and the workers determine the developmental program of the larva. We identified two important periods. The first is a critical period during the first few days after hatching. Larvae fed by queens during this period develop over less days, are not likely to develop into gynes, and commonly reach a smaller ultimate body size compared to workers reared mostly or solely by workers. The facial exocrine (mandibular and hypopharangeal) glands are involved in this queen effect on larva development. The second period is important for determining the ultimate body size which is positively regulated by the number of tending workers. The presence of the queen during this stage has little, if at all, influence. We further show that stressors such as agrochemicals that interfere with foraging or brood care specific processes can compromise bumble bee colony development and their pollination performance. We also developed new technology (an RFID system) for automated collection of foraging trip data, for future deployment in agroecosystems. In spite of many similarities, our findings suggest important differences between the Eurasian model species (B. terrestris) and the North American model species (B. impatiens) that impact how management strategies translate across the two species. For example, there is a similar influence of the queen on offspring body size in both species, but this effect does not appear to be mediated by development time in B. impatiens as it is in B. terrestris. Taken together, our collaboration highlights the power of comparative work, to show that considerable differences that exist between these two key pollinator species, and in the organization of young bumble bee nests (wherein queens provide the majority of care and then transition away from brood care) relative to later stages of nest development.
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Altstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593398.bard.

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The general objective of this study was to develop rationally designed mimetic antagonists (and agonists) of the PK/PBAN Np class with enhanced bio-stability and bioavailability as prototypes for effective and environmentally friendly pest insect management agents. The PK/PBAN family is a multifunctional group of Nps that mediates key functions in insects (sex pheromone biosynthesis, cuticular melanization, myotropic activity, diapause and pupal development) and is, therefore, of high scientific and applied interest. The objectives of the current study were: (i) to identify an antagonist biophores (ii) to develop an arsenal of amphiphilic topically active PK/PBAN antagonists with an array of different time-release profiles based on the previously developed prototype analog; (iii) to develop rationally designed non-peptide SMLs based on the antagonist biophore determined in (i) and evaluate them in cloned receptor microplate binding assays and by pheromonotropic, melanotropic and pupariation in vivo assays. (iv) to clone PK/PBAN receptors (PK/PBAN-Rs) for further understanding of receptor-ligand interactions; (v) to develop microplate binding assays for screening the above SMLs. In the course of the granting period A series of amphiphilic PK/PBAN analogs based on a linear lead antagonist from the previous BARD grant was synthesized that incorporated a diverse array of hydrophobic groups (HR-Suc-A[dF]PRLa). Others were synthesized via the attachment of polyethylene glycol (PEG) polymers. A hydrophobic, biostablePK/PBAN/DH analog DH-2Abf-K prevented the onset of the protective state of diapause in H. zea pupae [EC50=7 pmol/larva] following injection into the preceding larval stage. It effectively induces the crop pest to commit a form of ‘ecological suicide’. Evaluation of a set of amphiphilic PK analogs with a diverse array of hydrophobic groups of the formula HR-Suc-FTPRLa led to the identification of analog T-63 (HR=Decyl) that increased the extent of diapause termination by a factor of 70% when applied topically to newly emerged pupae. Another biostablePK analog PK-Oic-1 featured anti-feedant and aphicidal properties that matched the potency of some commercial aphicides. Native PK showed no significant activity. The aphicidal effects were blocked by a new PEGylated PK antagonist analog PK-dF-PEG4, suggesting that the activity is mediated by a PK/PBAN receptor and therefore indicative of a novel and selective mode-of-action. Using a novel transPro mimetic motif (dihydroimidazole; ‘Jones’) developed in previous BARD-sponsored work, the first antagonist for the diapause hormone (DH), DH-Jo, was developed and shown to block over 50% of H. zea pupal diapause termination activity of native DH. This novel antagonist development strategy may be applicable to other invertebrate and vertebrate hormones that feature a transPro in the active core. The research identifies a critical component of the antagonist biophore for this PK/PBAN receptor subtype, i.e. a trans-oriented Pro. Additional work led to the molecular cloning and functional characterization of the DH receptor from H. zea, allowing for the discovery of three other DH antagonist analogs: Drosophila ETH, a β-AA analog, and a dF analog. The receptor experiments identified an agonist (DH-2Abf-dA) with a maximal response greater than native DH. ‘Deconvolution’ of a rationally-designed nonpeptide heterocyclic combinatorial library with a cyclic bis-guanidino (BG) scaffold led to discovery of several members that elicited activity in a pupariation acceleration assay, and one that also showed activity in an H. zea diapause termination assay, eliciting a maximal response of 90%. Molecular cloning and functional characterization of a CAP2b antidiuretic receptor from the kissing bug (R. prolixus) as well as the first CAP2b and PK receptors from a tick was also achieved. Notably, the PK/PBAN-like receptor from the cattle fever tick is unique among known PK/PBAN and CAP2b receptors in that it can interact with both ligand types, providing further evidence for an evolutionary relationship between these two NP families. In the course of the granting period we also managed to clone the PK/PBAN-R of H. peltigera, to express it and the S. littoralis-R Sf-9 cells and to evaluate their interaction with a variety of PK/PBAN ligands. In addition, three functional microplate assays in a HTS format have been developed: a cell-membrane competitive ligand binding assay; a Ca flux assay and a whole cell cAMP ELISA. The Ca flux assay has been used for receptor characterization due to its extremely high sensitivity. Computer homology studies were carried out to predict both receptor’s SAR and based on this analysis 8 mutants have been generated. The bioavailability of small linear antagonistic peptides has been evaluated and was found to be highly effective as sex pheromone biosynthesis inhibitors. The activity of 11 new amphiphilic analogs has also been evaluated. Unfortunately, due to a problem with the Heliothis moth colony we were unable to select those with pheromonotropic antagonistic activity and further check their bioavailability. Six peptides exhibited some melanotropic antagonistic activity but due to the low inhibitory effect the peptides were not further tested for bioavailability in S. littoralis larvae. Despite the fact that no new antagonistic peptides were discovered in the course of this granting period the results contribute to a better understanding of the interaction of the PK/PBAN family of Nps with their receptors, provided several HT assays for screening of libraries of various origin for presence of PK/PBAN-Ragonists and antagonists and provided important practical information for the further design of new, peptide-based insecticide prototypes aimed at the disruption of key neuroendocrine physiological functions in pest insects.
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