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Journal articles on the topic 'Nonverbal module'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Zhang, Beibei, Tongwei Ren, and Gangshan Wu. "Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 21 (2025): 22354–62. https://doi.org/10.1609/aaai.v39i21.34391.

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Video speaking style recognition (VSSR) aims to classify different types of conversations in videos, contributing significantly to understanding human interactions. A significant challenge in VSSR is the inherent similarity among conversation videos, which makes it difficult to distinguish between different speaking styles. Existing VSSR methods commit to providing available multimodal information to enhance the differentiation of conversation videos. Nevertheless, treating each modality equally leads to a suboptimal result for these methods due to text is inherently more aligned with conversa

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Sundqvist, Martina, Alexandre Routier, Bruno Dubois, Olivier Colliot, and Marc Teichmann. "The White Matter Module-Hub Network of Semantics Revealed by Semantic Dementia." Journal of Cognitive Neuroscience 32, no. 7 (2020): 1330–47. http://dx.doi.org/10.1162/jocn_a_01549.

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Cognitive neuroscience exploring the architecture of semantics has shown that coherent supramodal concepts are computed in the anterior temporal lobes (ATL), but it is unknown how/where modular information implemented by posterior cortices (word/object/face forms) is conveyed to the ATL hub. We investigated the semantic module-hub network in healthy adults ( n = 19) and in semantic dementia patients ( n = 28) by combining semantic assessments of verbal and nonverbal stimuli and MRI-based fiber tracking using seeds in three module-related cortices implementing (i) written word forms (visual wor

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Brindha, Dr S., Ms T. P. Kamatchi, Ms V. S. Jayani, and Ms S. Sushmitha. "Signease: Empowering Seamless Communication for the Hearing Impaired." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 1011–16. http://dx.doi.org/10.22214/ijraset.2024.59956.

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Abstract: There are 2.78% of the total population of India who can’t speak. Sign language is a nonverbal form of communication method which is found among all deaf and dumb communities in the world. Normal people do not learn sign language. It causes barriers in communication between deaf dumb and normal people. Hence Deaf-Mute communication requires an interpreter who will convert hand gestures into auditory speech. The past implementation of this project involved using image processing concepts. But the drawback of these implementations is that projects were non portable and too expensive. T

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Wu, Jun, Tianliang Zhu, Xinli Zheng, and Chunzhi Wang. "Multi-Modal Sentiment Analysis Based on Interactive Attention Mechanism." Applied Sciences 12, no. 16 (2022): 8174. http://dx.doi.org/10.3390/app12168174.

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In recent years, multi-modal sentiment analysis has become more and more popular in the field of natural language processing. Multi-modal sentiment analysis mainly concentrates on text, image and audio information. Previous work based on BERT utilizes only text representation to fine-tune BERT, while ignoring the importance of nonverbal information. Most current research methods are fine-tuning models based on BERT that do not optimize BERT’s internal structure. Therefore, in this paper, we propose an optimized BERT model that is composed of three modules: the Hierarchical Multi-head Self Atte

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Setiawan, Deni, Iqbal Al Yumna Muttaqien, Mohammad Syakur Al Hamdani, Mira Nuryanti, and Juwanda Juwanda. "DESIGN OF E-MODULE TEACHING MATERIALS BASED ON LOCAL WISDOM FOR BIPA LEARNING." Jurnal Edusci 2, no. 1 (2024): 1–13. http://dx.doi.org/10.62885/edusci.v2i1.383.

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This research aims to design teaching materials in e-modules that integrate local wisdom to increase the effectiveness of learning Indonesian for Foreign Speakers (BIPA). In the era of globalization, understanding local culture is important to support a more contextual and authentic language learning process. The e-module developed in this research focuses on introducing and understanding local Indonesian culture, such as customs, traditional arts, and social values. This development model uses the Borg & Gall development model, namely preliminary study, research planning, design developme

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Verma, Niket, Priyanka Banerjee, Charu Mohan, ShaifalyM Rustagi, BinduT Nair, and Archna Rautela. "Listening between the Lines: Introduction of a Module for Teaching Nonverbal Communication Skills to MBBS Students." Archives of Medicine and Health Sciences 9, no. 2 (2021): 264. http://dx.doi.org/10.4103/amhs.amhs_112_21.

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Villacorta, Roberto Demmis Muñoz, Carlos Oscco Aguero, Alexi Delgado, and Enrique Lee Huamaní. "Implementation of a Mobile Application as a Tool for Recognition and Interpretation of Nonverbal Language to Improve Communication with Deaf-Mute People." International Journal of Emerging Technology and Advanced Engineering 12, no. 4 (2022): 147–54. http://dx.doi.org/10.46338/ijetae0422_18.

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In the present study, it was observed that a certain percentage of people with hearing and sound disabilities are not understood, as some non-disabled people do not know or master sign language, resulting in a lack of communication with deaf-mute people. Although it is true that nowadays communication and social inclusion is essential, it is for this reason that the mobile application for the recognition and interpretation of non-verbal language was implemented through the agile SCRUM methodology, it allows a better flexibility in developing the requirements established by the users, in additi

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Etchegoyen, Alicia, and Joanne Stubley. "Nursery observation in the training of child psychiatry registrars." Psychiatric Bulletin 21, no. 3 (1997): 156–59. http://dx.doi.org/10.1192/pb.21.3.156.

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This paper discusses a training opportunity based on an adaptation of the Infant Observation method. This is a much shorter module, of ten weekly visits.We describe three training components: (a) an opportunity to learn directly about child development and to become familiar with children's verbal and nonverbal communications; (b) a direct experience of the emotional impact and strength of primitive feelings, both in the children and in the trainees themselves, and (c) learning to be a ‘non-participant’ observer. We believe that the ability to observe without intervention is extremely importan

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Henry, E. Lemana II. "Communication strategies of English majors in Philippine classroom discourses: Basis for an enhancement module on strategic competence." International Research Journal of Science, Technology, Education, and Management 2, no. 2 (2022): 48–59. https://doi.org/10.5281/zenodo.6975676.

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Both high and low language proficiency learners encounter communication issues, so they use verbal and nonverbal communication techniques to make up for communication failures brought on by performance factors or a lack of competence. This study described the communication strategies employed in the utterances of Filipino students in their classroom discourses as a basis for an enhancement module on strategic competence. Furthermore, it utilized a descriptive-quantitative approach. Third-year college students under the Bachelor in Secondary Education major in English program of four purposivel

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Slaviček, I., and V. Sabo. "Psychophysical relaxation as a therapeutic medium in the rehabilitation of children with cerebral palsy." Paediatria Croatica 55, no. 1 (2011): 57–60. http://dx.doi.org/10.13112/pc.812.

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In addition to the basic clinical picture, we find a number of problems in the spectrum of emotional development and socially competent behavior in children with cerebral palsy. The indicated problems are reflected in all segments of the child’s life. Complex treatment and (re) habilitation of these children requires the use of appropriate therapeutic programs to alleviate or eliminate emotional difficulties and behavioral deviations. By use of therapeutic supportive media a child is given the opportunity to detect his/her own undiscovered skills in verbal and nonverbal expression and creation

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Kornetov, N. A. "SEMIOTICS, DIAGNOSTICS AND THERAPY TACTICS OF DEPRESSIVE DISORDERS IN CLINICAL MEDICINE." Bulletin of Siberian Medicine 13, no. 3 (2014): 5–24. http://dx.doi.org/10.20538/1682-0363-2014-3-5-24.

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Study objectives are dedicated to brief synthesized establishment of diagnostics general standard, management and therapy of major depressive disorders (MDD) in clinical medicine to provide education in medical practice.Study methods are based on short-term, medium-term and long-term educational programs in 24 Russian and Ukraine cities, which were based on original educational programs under the direction of World Psychiatric Association (WPA) and International Committee For Prevention and Treatment of Depression (PTD). There, about 1450 doctors of different occupations were acquainted with t

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Mambou, Krejcar, Maresova, Selamat, and Kuca. "Novel Hand Gesture Alert System." Applied Sciences 9, no. 16 (2019): 3419. http://dx.doi.org/10.3390/app9163419.

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. Sexual assault can cause great societal damage, with negative socio-economic, mental, sexual, physical and reproductive consequences. According to the Eurostat, the number of crimes increased in the European Union between 2008 and 2016. However, despite the increase in security tools such as cameras, it is usually difficult to know if an individual is subject to an assault based on his or her posture. Hand gestures are seen by many as the natural means of nonverbal communication when interacting with a computer, and a considerable amount of research has been performed. In addition, the ident

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Ankit Kumar. "Decoding Stress with Computer Vision-Based Approach Using Audio Signals for Psychological Event Identification during COVID-19." Journal of Electrical Systems 20, no. 2 (2024): 2716–27. http://dx.doi.org/10.52783/jes.2047.

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Interpreting psychological events can be costly and quite complex. It is simple to translate such experiences into a person's spoken and nonverbal cues. The suggested model investigates a computer vision-based method for using an individual's audio signal to identify stressful psychological events. Different people's input speech signals are recorded and compared to the common questionnaire. A series of inquiries pertaining to the second stage of COVID-19 events are included in the questionnaire set. Through additional processing, these speech signals are converted into frequency components by

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Zhou, Qianrui, Hua Xu, Hao Li, et al. "Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 15 (2024): 17114–22. http://dx.doi.org/10.1609/aaai.v38i15.29656.

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Multimodal intent recognition aims to leverage diverse modalities such as expressions, body movements and tone of speech to comprehend user's intent, constituting a critical task for understanding human language and behavior in real-world multimodal scenarios. Nevertheless, the majority of existing methods ignore potential correlations among different modalities and own limitations in effectively learning semantic features from nonverbal modalities. In this paper, we introduce a token-level contrastive learning method with modality-aware prompting (TCL-MAP) to address the above challenges. To

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Müller, Ralph-Axel. "Innateness, autonomy, universality? Neurobiological approaches to language." Behavioral and Brain Sciences 19, no. 4 (1996): 611–31. http://dx.doi.org/10.1017/s0140525x00043296.

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AbstractThe concepts of the innateness, universality, species-specificity, and autonomy of the human language capacity have had an extreme impact on the psycholinguistic debate for over thirty years. These concepts are evaluated from several neurobiological perspectives, with an emphasis on the emergence of language and its decay due to brain lesion and progressive brain disease.Evidence of perceptuomotor homologies and preadaptations for human language in nonhuman primates suggests a gradual emergence of language during hominid evolution. Regarding ontogeny, the innate component of language c

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Israel, Smitha, Sofia Perazzo, Morgan Lee, et al. "Improving Documentation of Pain Reassessment after Pain Management Interventions in the NICU." Pediatric Quality & Safety 8, no. 5 (2023): e688. http://dx.doi.org/10.1097/pq9.0000000000000688.

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Background: Neonates exposed to painful procedures require pain assessment and reassessment using nonverbal scales. Nurses perform initial assessments routinely, but reassessment is variable. The goal was to increase pain reassessments in neonates with a previous score of 4 or higher within 60 minutes from 50% to 75% within 12 months. Methods: After identifying key drivers, we tested several interventions using the IHI’s Model for Improvement. The outcome measure was the rate of reassessments within 1 hour after scoring ≥4 on the Neonatal Pain Agitation and Sedation Scale (N-PASS). Duration of

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Békés, Vera, Geneviève Belleville, Jessica Lebel, et al. "Trainee Therapists’ Perceptions of a Blended Intervention to Promote Resilience after a Natural Disaster: A Qualitative Case Study." Journal of Clinical Medicine 11, no. 15 (2022): 4361. http://dx.doi.org/10.3390/jcm11154361.

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Background: Natural disasters happen in an increased frequency, and telemental health interventions could offer easily accessible help to reduce mental health symptoms experienced by survivors. However, there are very few programs offered to natural disaster survivors, and no research exists on therapists’ experiences with providing blended interventions for natural disaster survivors. Aims: Our qualitative case study aims to describe psychologists’ experiences with an online, therapist-assisted blended intervention for survivors of the Fort McMurray wildfires in Alberta, Canada. Method: The R

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Gotman, Kélina. "Notes From the Field (From the Desk): To Hold." Theatre Survey 62, no. 3 (2021): 354–57. http://dx.doi.org/10.1017/s0040557421000302.

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The last seminar of my “Introduction to Literary Theories” course in the fall semester of 2020 involved really difficult material on gender and race; it was exposing; none of the students had their cameras on. I was nearly in tears. Kept composure. We had been navigating well through the semester, with this and the other first-year module on poetry—subjects adjacent to theatre as a result of my situation within a department of English literature. This semester, I've been more bold, gently asking students to turn cameras on; I remember, though, always, Owen Parry's articulation of audience part

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Woo, Jinseok, and Naoyuki Kubota. "Human-Robot Interaction Design Using Smart Device Based Robot Partner." International Journal of Artificial Life Research 6, no. 2 (2016): 23–43. http://dx.doi.org/10.4018/ijalr.2016070102.

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Nowadays, various robot partners have been developed to realize human-friendly interactions. In general, a robot system is composed of hardware modules, software modules, and application contents. It takes much time to design utterance contents and motion patterns as application contents simultaneously, but the design support systems mainly focus on the generation of robot motion patterns. Furthermore, a methodology is needed to easily change the specification of hardware and software according to diversified needs, and the developmental environment to design the application contents on verbal

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Glaser, Bronwyn, Amelie Lothe, Mélanie Chabloz, et al. "Candidate Socioemotional Remediation Program for Individuals with Intellectual Disability." American Journal on Intellectual and Developmental Disabilities 117, no. 5 (2012): 368–83. http://dx.doi.org/10.1352/1944-7558-117.5.368.

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Abstract The authors developed a computerized program, Vis-à-Vis (VAV), to improve socioemotional functioning and working memory in children with developmental disabilities. The authors subsequently tested whether participants showed signs of improving the targeted skills. VAV is composed of three modules: Focus on the Eyes, Emotion Recognition and Understanding, and Working Memory. Ten children with idiopathic developmental delay completed four 20-min weekly sessions of VAV for 12 weeks with an adult. Participants were evaluated before (Time 0) and after (Time 1) training and 6 months after r

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Kanayeva, L. С., and V. D. Narozhnaya. "The Role of Non-Verbal Communication in Language Classes in a Multilingual Audience (from Experience of Working on Electronic Educational Platforms)." Iasaýı ýnıversıtetіnіń habarshysy 131, no. 1 (2024): 422–36. http://dx.doi.org/10.47526/2024-1/2664-0686.34.

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The article was written on the current topic of improving intercultural communication in the context of globalization and the rapid development of high technologies. The purpose of the article is to study the role and characteristics of mastering nonverbal communication skills by students studying foreign languages in higher education in intercultural interaction, as well as to develop proposals for the use of electronic educational platforms to improve the effectiveness of learning. The problem is that in Kazakhstan’s universities there are not enough academic hours to master non-verbal commu

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Löckelt, Markus, Norbert Pfleger, and Norbert Reithinger. "Multi-party Conversation for Mixed Reality." International Journal of Virtual Reality 6, no. 4 (2007): 31–42. http://dx.doi.org/10.20870/ijvr.2007.6.4.2706.

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The interactive scenarios realized in the two prototypes of Virtual Human require an approach that allows humans and virtual characters to interact naturally and flexibly. In this article we present how the autonomous control of the virtual characters and the interpretation of user interactions is realized in the Conversational Dialogue Engine (CDE) framework. For each virtual and real interlocutor one CDE is responsible for dialogue processing. We will introduce the knowledge needed for the CDE-approach and present the modules of a CDE. The real-time requirement resulted in the integrated pro

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Etibar Aliyev, Oluyinka Adedokun, Adetutu Temitope Fabusoro, and Babatunde Keshinro. "AI-enhanced conversational avatars for immersive interaction." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 627–34. https://doi.org/10.30574/wjarr.2025.26.1.1101.

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This paper reviews the significance of key technologies of AI-enhanced conversational avatars and their applications for immersive interaction, including increased AI system adoption, enhanced trustworthiness, and personalized and engaging interactions. Using empirical data and case studies, this paper provides evidence regarding recent advancements that facilitate high-fidelity and style-controllable avatar generation, providing customizable options for users for online social interactions. This is possible by integrating several AI modules like text-to-speech, speech recognition, and open-do

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Uwase N., Mutoni. "Effective Communication Skills for Law Students." RESEARCH INVENTION JOURNAL OF LAW, COMMUNICATION AND LANGUAGES 5, no. 1 (2025): 15–21. https://doi.org/10.59298/rijlcl/2025/511521.

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In the demanding field of law, the ability to communicate effectively is as essential as legal knowledge itself. This paper examines the multifaceted communication skills required by law students to succeed academically and professionally. Emphasizing both written and oral forms, the study delves into the importance of clarity, persuasion, negotiation, public speaking, interpersonal communication, and active listening. Furthermore, it investigates the often-overlooked role of nonverbal communication and the increasing significance of networking in legal practice. Despite the strong theoretical

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Casas-Bocanegra, Diego, Daniel Gomez-Vargas, Maria J. Pinto-Bernal, et al. "An Open-Source Social Robot Based on Compliant Soft Robotics for Therapy with Children with ASD." Actuators 9, no. 3 (2020): 91. http://dx.doi.org/10.3390/act9030091.

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Therapy with robotic tools is a promising way to help improve verbal and nonverbal communication in children. The robotic tools are able to increase aspects such as eye contact and the ability to follow instructions and to empathize with others. This work presents the design methodology, development, and experimental validation of a novel social robot based on CompliAnt SofT Robotics called the CASTOR robot, which intends to be used as an open-source platform for the long-term therapy of children with autism spectrum disorder (CwASD). CASTOR integrates the concepts of soft actuators and compli

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Dr., I. C. Licyamma. "MOTIVATION AND ITS MODUS OPERANDI." International Journal of Advanced Trends in Engineering and Technology 1, no. 1 (2017): 60–64. https://doi.org/10.5281/zenodo.229464.

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Motivation is that which determines the choice or moves the will. Motivation induces and prompts people to action. Motives and goals focus our energy and effort, help determine the competencies we need and provide a basis for deciding between alternative courses of action. Environmental factors are of great importance in facilitating or inhibiting given strivings, in the formation of goals. The rewards and punishments supplied by the group also influence the goals its members seek and the means they learn to use in working toward these goals. Motivation is such a sparse product .It is costlier

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Wahyuni, Hestina. "Strategi Keterampilan Penguatan Guru dalam Pembelajaran Pendidikan Agama Islam pada Anak Usia Dini." Journal of Elementary School (JOES) 6, no. 2 (2023): 178–87. http://dx.doi.org/10.31539/joes.v6i2.7573.

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This research aims to see the results of implementing strengthening Islamic religious education learning with a strategy of strengthening teacher skills in learning Islamic religious education for early childhood at Pertiwi 1 Kindergarten, Bengkulu City. The method used is a qualitative descriptive research method, while the type of data used in this research is through observation, interviews and documentation. The results of the research show that the strategy for strengthening teacher skills in Islamic religious education learning uses Skinner's Operant Conditioning theory. Teachers provide

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Dolbin-MacNab, Megan, Gregory Smith, Frank Infurna, et al. "SOCIAL INTELLIGENCE TRAINING AND CUSTODIAL GRANDFAMILIES: A QUALITATIVE ANALYSIS OF RELATIONSHIPS." Innovation in Aging 7, Supplement_1 (2023): 955. http://dx.doi.org/10.1093/geroni/igad104.3069.

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Abstract Custodial grandfamilies often experience relational challenges related to parenting and the grandparent-grandchild relationship that would benefit from intervention. Social intelligence training (SIT), which focuses on improving socio-emotional skills via online, self-guided modules, holds promise for helping grandfamilies address their relational challenges. The purpose of this qualitative study was to examine SIT skills that custodial grandmothers and grandchildren utilize in their interactions and the impact of SIT on their relationship. The sample consisted of 27 dyads of custodia

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Sari, Alfina, Herman Nirwana, and Afdal Afdal. "Prospective bride interpersonal communication Judging from the Gender: Are there any differences?" Jurnal Aplikasi IPTEK Indonesia 4, no. 1 (2020): 1–11. http://dx.doi.org/10.24036/4.14332.

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Based on the existing phenomena, there are still many brides who have not been able to establish good interpersonal communication. If the condition is ignored, it will have an impact on divorce. This research uses a quantitative descriptive approach . The population of the study was the candidate pair of pengatin in Padang City with a total sample of 43 pairs . The sampling technique used was cluster random sampling with data collection tools used in the form of Interpersonal Communication Scale (SKI) . Data were analyzed using descriptive statistics and for analysis of interpersonal communica

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Ollrogge, Karen, Daniel Schulze, Philipp Sterzer, et al. "Cognitive behavioural therapy plus Kiesler Circle Training (CBT+) versus CBT only for patients with interpersonal problems: study protocol for a randomised controlled feasibility trial." BMJ Open 15, no. 2 (2025): e098466. https://doi.org/10.1136/bmjopen-2024-098466.

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IntroductionInterpersonal problems are a transdiagnostic risk factor for the development and maintenance of various psychiatric disorders, including anxiety and depression. Interventions that address these interpersonal challenges could therefore play a crucial role in enhancing mental health. This study aims to evaluate the efficacy and feasibility of a transdiagnostic group intervention, the Kiesler Circle Training (KCT), in improving interpersonal skills.Methods and analysisIn a prospective randomised controlled trial (RCT), 156 outpatients with a primary diagnosis of either depression or a

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Liu, Yuliang, Dean Ginther, and Paul Zelhart. "How Do Frequency and Duration of Messaging Affect Impression Development in Computer-Mediated Communication?" JUCS - Journal of Universal Computer Science 7, no. (10) (2001): 893–913. https://doi.org/10.3217/jucs-007-10-0893.

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Computer-mediated Communication (CMC) has been commonly compared to face-to-face (FtF) communication in recent CMC literature. Research comparisons suggested depersonalizing effects of CMC. However, this experimental study indicates that CMC is a potentially viable mode of social-emotion-oriented communication. In this study, the effects of frequency and duration of messaging on impression development in CMC were investigated. Undergraduate participants were randomly assigned to each of the four experimental groups. For a period of two weeks, participants monitored discussion lists that differ

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Hamrick, Lisa R., Rosmary Ros‐Demarize, Stephen Kanne, and Laura Arnstein Carpenter. "Profiles of nonverbal skills used by young pre‐verbal children with autism on the ADOS‐2: Relation to screening disposition and outcomes." Autism Research, September 9, 2024. http://dx.doi.org/10.1002/aur.3229.

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AbstractAutistic individuals exhibit differences in their use and understanding of nonverbal communication; however, individual patterns of nonverbal strengths and challenges vary significantly. This heterogeneity can complicate the diagnostic and screening processes and can result in delayed or missed diagnoses. In this study, we characterize various profiles of nonverbal communication skills among 215 pre‐verbal children with autism (Mage = 36.27 months, range = 18–70) and explore how these profiles are related to screening outcomes, diagnostic certainty, and developmental and behavioral fea

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Shi, Piao, Min Hu, Xuefeng Shi, and Fuji Ren. "Deep Modular Co-Attention Shifting Network for Multimodal Sentiment Analysis." ACM Transactions on Multimedia Computing, Communications, and Applications, November 27, 2023. http://dx.doi.org/10.1145/3634706.

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Human Multimodal Sentiment Analysis (MSA) is an attractive research that studies sentiment expressed from multiple heterogeneous modalities. While transformer-based methods have achieved great success, designing an effective ”co-attention” model to associate text modality with nonverbal modalities remains challenging. There are two main problems: 1) the dominant role of the text in modalities is underutilization, and 2) the interaction between modalities is not sufficiently explored. This paper proposes a deep modular Co-Attention Shifting Network (CoASN) for MSA. A Cross-modal Modulation Modu

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Wang, Jianwen, Shiping Wang, Shunxin Xiao, Renjie Lin, Mianxiong Dong, and Wenzhong Guo. "Conditional selection with CNN augmented transformer for multimodal affective analysis." CAAI Transactions on Intelligence Technology, March 22, 2024. http://dx.doi.org/10.1049/cit2.12320.

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AbstractAttention mechanism has been a successful method for multimodal affective analysis in recent years. Despite the advances, several significant challenges remain in fusing language and its nonverbal context information. One is to generate sparse attention coefficients associated with acoustic and visual modalities, which helps locate critical emotional semantics. The other is fusing complementary cross‐modal representation to construct optimal salient feature combinations of multiple modalities. A Conditional Transformer Fusion Network is proposed to handle these problems. Firstly, the a

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Bosshard, Michel, Sissel Guttormsen, Urs Markus Nater, Felix Schmitz, Patrick Gomez, and Christoph Berendonk. "Improving breaking bad news communication skills through stress arousal reappraisal and worked examples." Medical Education, March 12, 2025. https://doi.org/10.1111/medu.15658.

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AbstractIntroductionBreaking bad news (BBN) is a distressing yet essential task in medicine, imposing emotional strain on both physicians and patients. Crucially, effective BBN relies on both verbal and nonverbal communication, which can be impaired by elevated stress associated with the task. Efficient teaching of communication skills continues to present a challenge, and the role of stress management in BBN encounters remains largely overlooked. In this study, we investigated the effects of stress arousal reappraisal (SAR; positive reframing of stress arousal) and worked example (WE; step‐by

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Noval, Arnel T. "Development and Validation of a Self-Learning Module on Verbal and Nonverbal Communication in Filipino for Tertiary." Pakistan Journal of Life and Social Sciences (PJLSS) 22, no. 2 (2024). http://dx.doi.org/10.57239/pjlss-2024-22.2.001138.

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Karpouzian-Rogers, Tatiana, Beth Makowski-Woidan, Alan Kuang, et al. "NIH Toolbox^® Episodic Memory Measure Differentiates Older Adults with Exceptional Memory Capacity from those with Average-for-Age Cognition." Journal of the International Neuropsychological Society, February 28, 2022, 1–5. http://dx.doi.org/10.1017/s135561772200008x.

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Abstract Objective: Older adults with exceptional memory function, designated “SuperAgers,” include individuals over age 80, with episodic memory at least as good as individuals ages 50s–60s. The Northwestern University SuperAging cohort is defined by performance on an established test of verbal memory. The purpose of this study was to determine if superior verbal memory extends to nonverbal memory in SuperAgers by examining differences in the National Institutes of Health Toolbox® (NIHTB) between older adults with exceptional memory and those with average-for-age cognition. Method: SuperAgers

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Rødgaard, Eya-Mist, Borja Rodríguez-Herreros, Abderrahim Zeribi, et al. "Clinical correlates of diagnostic certainty in children and youths with Autistic Disorder." Molecular Autism 15, no. 1 (2024). http://dx.doi.org/10.1186/s13229-024-00592-7.

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Abstract Background Clinicians diagnosing autism rely on diagnostic criteria and instruments in combination with an implicit knowledge based on clinical expertise of the specific signs and presentations associated with the condition. This implicit knowledge influences how diagnostic criteria are interpreted, but it cannot be directly observed. Instead, insight into clinicians’ understanding of autism can be gained by investigating their diagnostic certainty. Modest correlations between the certainty of an autism diagnosis and symptom load have been previously reported. Here, we investigated th

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Feng, Huanghao, Mohammad H. Mahoor, and Francesca Dino. "A Music-Therapy Robotic Platform for Children With Autism: A Pilot Study." Frontiers in Robotics and AI 9 (May 23, 2022). http://dx.doi.org/10.3389/frobt.2022.855819.

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Children with Autism Spectrum Disorder (ASD) experience deficits in verbal and nonverbal communication skills including motor control, turn-taking, and emotion recognition. Innovative technology, such as socially assistive robots, has shown to be a viable method for Autism therapy. This paper presents a novel robot-based music-therapy platform for modeling and improving the social responses and behaviors of children with ASD. Our autonomous social interactive system consists of three modules. Module one provides an autonomous initiative positioning system for the robot, NAO, to properly locali

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Al Ahmadi, Saad, Farah Mohammad, and Haya Al Dawsari. "Efficient YOLO-Based Deep Learning Model for Arabic Sign Language Recognition." Journal of Disability Research 3, no. 4 (2024). http://dx.doi.org/10.57197/jdr-2024-0051.

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Verbal communication is the dominant form of self-expression and interpersonal communication. Speech is a considerable obstacle for individuals with disabilities, including those who are deaf, hard of hearing, mute, and nonverbal. Sign language is a complex system of gestures and visual signs facilitating individual communication. With the help of artificial intelligence, the hearing and the deaf can communicate more easily. Automatic detection and recognition of sign language is a complex and challenging task in computer vision and machine learning. This paper proposes a novel technique using

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Wu, Qing, Li Ma, Lena Joesch-Cohen, Michael Schmidt, Ece D. Gamsiz Uzun, and Eric M. Morrow. "Targeting NHE6 gene expression identifies lysosome and neurodevelopmental mechanisms in a haploid in vitro cell model." Biology Open, September 25, 2023. http://dx.doi.org/10.1242/bio.059778.

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Christianson Syndrome (CS) is an X-linked disorder resulting from loss-of-function (LoF) mutations in SLC9A6 encoding the endosomal Na+/H+ exchanger 6 (NHE6). CS presents with developmental delay, seizures, intellectual disability, nonverbal status, postnatal microcephaly, and ataxia. To define transcriptome signatures of NHE6 LoF, we conducted in-depth RNA-sequencing (RNA-seq) analysis on a haploid NHE6 null cell model. CRIPSR/Cas9 genome editing introduced multiple LoF mutations into SLC9A6 in the near haploid human cell line Hap1. Isogenic, paired parental controls were also studied. NHE6 m

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Hertling, Stefan F., David A. Back, Mario Kaiser, Franziska M. Loos, Ekkehard Schleußner, and Isabel Graul. "Students' and lecturers' perspectives on the implementation of online learning in medical education due to COVID-19 in Germany: a cross-sectional pilot study." Frontiers in Medicine 10 (April 24, 2023). http://dx.doi.org/10.3389/fmed.2023.1145651.

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BackgroundDuring the coronavirus disease 2019 (COVID-19) crisis, many things changed in universities around the world. In-person learning was not possible. Instead, courses were offered in digital form. The sudden change posed enormous challenges to universities, students, and teachers. The aim of this study was to investigate the disadvantages as well as the advantages and opportunities of digital learning.ObjectiveThis study investigated the evaluation of an elective module by medical students and teachers in the traditional in-person and virtual teaching forms during the COVID-19 pandemic.M

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"Real Time Detection and Identification of Human Emotions through Live Streaming." International Journal of Recent Technology and Engineering 8, no. 4 (2019): 12842–45. http://dx.doi.org/10.35940/ijrte.d9056.118419.

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Automating the analysis of facial expressions of individuals is one of the challenging tasks in opinion mining. In this work, the proposed technique for identifying the face of an individual and the emotions, if present from a live camera. Expression detection is one of the sub-areas of computer visions which is capable of finding a person from a digital image and identify the facial expression which are the key factors of nonverbal communication. Complexity involves mainly in two cases viz., 1)if more than one emotions coexist on a face. 2) expressing same emotion between individuals is not e

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Salikha, Yuldashevna Usmanova, and Rizayeva Mirzayeva Shakhlo. "FEATURES OF THE INTEGRATIVE - DIFFERENTIATED SYSTEM OF TEACHING LITERACY TO STUDENTS OF NATIONAL GROUPS." INTERNATIONAL JOURNAL OF WORD ART 2023, Volume-6, Issue-3 (2023). https://doi.org/10.5281/zenodo.8249746.

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The article examines the theoretical foundations of an integratively differentiated system of literacy teaching   and their provisions, the psychophysiological properties of reading and writing as types of speech activity, as well as an integrated-differentiated lesson of a modular type is considered as an occupation during which both the synthesis of knowledge of closely related subjects is carried out, resulting in a new quality, and differentiation of this knowledge, which is due to the specifics of synthesized items.

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Canale, Sarah, Britany Weissman, Carmen Rosa Noroña, et al. "Complex Autism Spectrum Disorder: Structural Determinants of Health and Their Impact on the Diagnosis." Journal of Developmental & Behavioral Pediatrics, October 11, 2023. http://dx.doi.org/10.1097/dbp.0000000000001219.

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CASE: Emmanuel is a 6.5-year-old boy who was referred to your evaluation clinic for concerns about his social skills and communication. He arrived in the United States (US) 1 year ago after an immigration trajectory that began in Haiti when he was aged 3 years; passed through Mexico, where the family was in various shelters for over a year; and concluded 2 years later, with the family eventually settling in an urban center in the northeastern United States. While in Mexico, the family was living in a camp without access to utilities. They faced significant food insecurity and experienced multi

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Katia Lucia Zambrano Ruiz, Marinela Álvarez Borrero, and Jhon Jairo Feria Díaz. "Application of a Combined Approach in Pragmatic Rehabilitation in a Case of Autism Spectrum Disorder." EVOLUTIONARY STUDIES IN IMAGINATIVE CULTURE, September 3, 2024, 149–61. http://dx.doi.org/10.70082/esiculture.vi.777.

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This study focuses on a 12-year-old girl diagnosed with a pragmatic disorder caused by Autism Spectrum Disorder (ASD). Following an initial evaluation, a pragmatic rehabilitation program was implemented using a combined approach in 15 therapeutic sessions over a 4-month period. The program consisted of structured formats organized into modules to train the verbal, paralinguistic, and nonverbal aspects of communication. The results of the re-evaluation demonstrated the program’s effectiveness, with improvements in communicative intention, proxemic skills, prosodic variations, physical contact w

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Yuli Purnamasari, Yuli Purnamasari, and Lasmery R. M. Girsang. "Adaptation of Therapeutic Communication Models between Deaf Students: A Case Study at Aluna School." INTERNATIONAL JOURNAL OF SOCIAL SCIENCE AND EDUCATION RESEARCH STUDIES 03, no. 08 (2023). http://dx.doi.org/10.55677/ijssers/v03i8y2023-28.

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The limitations of deaf children in communicating in social life can be developed through therapeutic communication carried out by therapists through AVT therapy. The purpose of this study is to describe the communication model used by deaf children at Aluna School in the school environment. The research method uses a qualitative approach with a case study method conducted in the Aluna School environment. Data collection techniques with observations, interviews and documentation. The results of this study showed that deaf children use communication patterns, namely wheel patterns, therapists a

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"Illumination Invariant Facial Expression Recognition using Convolutional Neural Networks." International Journal of Recent Technology and Engineering 8, no. 4 (2019): 6140–44. http://dx.doi.org/10.35940/ijrte.d8905.118419.

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In this work, we propose a prospective novel method to address illumination invariant system for facial expression recognition. Facial expressions are used to convey nonverbal visual information among humans. This also plays a vital role in human-machine interface modules that have invoked attention of many researchers. Earlier machine learning algorithms require complex feature extraction algorithms and are relying on the size and uniqueness of features related to the subjects. In this paper, a deep convolutional neural network is proposed for facial expression recognition and it is trained o

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