In order to facilitate effective patient identification and treatment, this paper presents a centralized AI-based support platform for individuals in Sri Lanka suffering from Post-Traumatic Stress ...Disorder (PTSD) and for counselors. The main goal of the platform is to assess the severity of patients and categorize them according to their criticality by combining acoustic features from voice recordings with content analysis from chat-bot interactions. The next step involves guiding patients through self-treatment virtual therapy exercises such as self-medication instruction, talking circles, and in-depth conversations with licensed counselors. Patients then have a last assessment with a mental health professional to see if they are ready to be released, and the session is videotaped for an AI-powered evaluation of their well-being using body language analysis. The architecture of the platform, the severity assessment methodology used, the results of the implementation, and the opportunities for improving and growing this novel PTSD support approach are all described in the paper. This platform offers valuable insights for mental health professionals and shows great promise for improving the efficacy and accessibility of PTSD treatment. Talking circles, PTSD, exposure therapy, cognitive behavioral therapy, and body language evaluation are some of the key terms.
A scale for the evaluation of communication disorders in patients with schizophrenia (Schizophrenia Communication Disorder Scale-SCD) is proposed based on studies showing that cognitive disorders ...specific to the disorganization seen in schizophrenia consist of context processing deficits and problems in the attribution of mental states. Thus the focus of this scale is on the cognitive difficulties revealed in conversation during a structured interview.
Fifty-six patients with schizophrenia, depression or mania were evaluated.
Significantly elevated scores on the SCD were present in patients with schizophrenia compared to all other groups. Thus, this scale adds to the tools available for evaluating the language of patients with schizophrenia and helps focus on characteristics that are specific to this psychotic diagnosis.
The series Trends in Applied Linguistics meets the challenges of the rapidly growing field of applied linguistics. In a very broad sense, applied linguistics is understoodby focusing on the ...application of theoretical linguistics to current problems arising in different contexts of human society. Given the interdisciplinary character of applied linguistics, the series includes cognitive, psycholinguistic, sociolinguistic and educational perspectives. The following topicsare included in the series: Second language acquisition and the acquisition of additional languages Bilingual and multilingual education Language planning and language policy Literacy skills Second/foreign language pedagogy Translation and interpretation Language for specific purposes Discourse analysis Language testing and assessment Child language Language and gender Pragmatics and rhetorics Corpus analysis Critical pedagogies Research methodology in applied linguistics Language and technology.
Visualization languages help to standardize the process of designing effective visualizations, one of the most prominent being D3. However, few researchers have analyzed at scale how users ...incorporate these languages into existing visualization programming processes, i.e., implementation workflows. In this paper, we present an analysis of the experiences of D3 users as observed through Stack Overflow, summarizing common D3 implementation workflows and challenges discussed online. Our results show how the visualization community may be limiting its understanding of users' visualization implementation challenges by ignoring the larger context in which languages such as D3 are used. Based on our findings, we suggest new research directions to enhance the user experience with visualization languages. All our data and code are available at: https://osf.io/fup48/.
The creation and consumption of content, especially visual content, is ingrained into our modern world. This book contains a collection of texts centered on the evaluation of image retrieval systems. ...To enable reproducible evaluation we must create standardized benchmarks and evaluation methodologies. The individual chapters in this book highlight major issues and challenges in evaluating image retrieval systems and describe various initiatives that provide researchers with the necessary evaluation resources. In particular they describe activities within ImageCLEF, an initiative to evaluate cross-language image retrieval systems which has been running as part of the Cross Language Evaluation Forum (CLEF) since 2003.To this end, the editors collected contributions from a range of people: those involved directly with ImageCLEF, such as the organizers of specific image retrieval or annotation tasks, participants who have developed techniques to tackle the challenges set forth by the organizers, and people from industry and academia involved with image retrieval and evaluation generally. Mostly written for researchers in academia and industry, the book stresses the importance of combing textual and visual information - a multimodal approach - for effective retrieval. It provides the reader with clear ideas about information retrieval and its evaluation in contexts and domains such as healthcare, robot vision, press photography, and the Web.
Current programs to help primary school students learn German as a second language have the overarching aim of strengthening school-related and education-related verbal abilities in both speech and ...writing. Based on a theoretical conceptualization of children's spoken language in school, the author describes and evaluates an empirical method to determine the efficacy of language support.
To meet the needs of French learners for language training, the mini-language corpus construction and its language evaluation are put forward, introducing noise reduction technology and an extraction ...feature module. Keywords, statistical main word frequency information, the corresponding paragraph, and the construction principle are marked to learn with the technology. The method needs to collect a representative French corpus and regularly update it. By using new software analysis data, the experiment found that the corpus through a computer program has different combinations, which meets the application needs of students. A comprehensive assessment of French vocabulary greatly improves the application efficiency of the corpus. The result confirms the design ideas proposed by the mini French corpus and effectively helps the students master and use French vocabulary.
The change of the new environment for educational development puts forward more stringent requirements for the teaching of oral English. Although English learners in the information age are ...surrounded by massive learning resources, their oral ability has not been rapidly improved. This is due to the shackles of traditional examination-oriented ideas on the one hand, and the lack of effective and continuous language output by most learners on the other hand. This paper comprehensively uses interviews, questionnaires and tests to carry out a one-month action study on 40 junior high school students, and tries to explore the effectiveness of the interactive and standard reading of oral English assessment based on the platform of speaking freely. The results show that: (1) The students in the class who use the platform of free speech intelligence to assist learning have significantly improved both their reading performance and the ability of situational dialogue; (2) There is no significant difference in performance improvement between men and women; (3) There is a significant negative correlation between the improvement of English performance and the pre-test English performance, so it can be seen that the Changyan Smart Class is more effective for students with lower oral English proficiency. Finally, this paper uses linear regression model to fit the improvement of English level after using smart classroom, and the fitting accuracy reaches 86.7%.
TOPIC: Because of the link between communication impairments and psychiatric disorders, it is important for nurses and other healthcare professionals to know the warning signs for the need for a ...communication/speech/language evaluation for children during infancy through early childhood.
PURPOSE: This article presents an overview of the role of speech‐language pathologists (SLPs); the expected developmental achievements for youngsters from infancy to age 5 in speech, language, and communication; and the clinically significant warning signs that indicate a need for speech/language assessment.
SOURCES: Sources for this article included published literature on the topic along with the clinical judgment and expertise of the author, a certified SLP.
CONCLUSIONS: Warning signs for referral to an SLP may be subtle and may present in developmental, academic, behavioral, or social–emotional realms. Collaboration between nurses and communication professionals will allow for early identification and intervention. Early detection of speech and language disabilities is key to maximizing the effects of early intervention, resulting in more positive communication outcomes in later life. It has been found that speech and language delays and disorders, with symptoms left untreated, can cause difficulties in learning and socialization that can last into adolescence and beyond. Early identification of children with developmental delay or developmental disabilities may lead to intervention at a young age when chances for improvement may be best.
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