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Journal articles on the topic 'Visable learning'

Author: Grafiati

Published: 29 June 2021

Last updated: 29 July 2025

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1

Swinson, Jeremy. "Visable learning for teachers maximizing impact on learning." Educational Psychology in Practice 28, no. 2 (2012): 215–16. http://dx.doi.org/10.1080/02667363.2012.693677.

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Nandani Sharma, Deepali Verma, and Prakriti Chaurasia. "A Real-Time Visage Expression Detection Using Convolutional Neural Network (RTVED)." international journal of engineering technology and management sciences 6, no. 6 (2022): 571–77. http://dx.doi.org/10.46647/ijetms.2022.v06i06.097.

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In this work, the purpose is to implement parts of seven Real-Time Visage Expression Detection using Convolutional Neural network (RTVED), Data Augmentation to get high accuracy, and focus on the Methodology of Real-Time Visage Expression Detection using CNN. In this paper, considered a convention Convolutional Neural Network model and utilized it to prepare and test diverse look pictures with the Keras, TensorFlow, and deep learning library. Real-Time human visage Expressions Detection has two sections, recognizer Validation, and data preparation, and a training model for data preparation and

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Dešukaitė, Laima, and Rita Ilgūnė-Martinėlienė. "Naratyvinio žaidimo taikymas 2 klasės matematikos pamokose, stiprinant mokinių mokymosi motyvaciją." Socialinis ugdymas 61 (2024): 68–81. http://dx.doi.org/10.15823/su.2024.61.4.

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Visame ugdymo procese yra svarbus mokytojo vaidmuo ir tai, kaip jis yra pasiruošęs keisti mokymosi metodus, keliant mokinių mokymosi motyvaciją. Pasitelkdamas naratyvinio žaidimo metodą mokytojas paverčia ugdymą mokiniams patrauklesniu, įtraukiančiu ir motyvuojančiu. Pamokose, taikant naratyvinio žaidimo metodą, svarbu užtikrinti saugią aplinką mokiniams reikštis, bendradarbiauti ir komunikuoti. Tokių pamokų metu mokiniai ne tik įsitraukia į mokymosi procesą, jo laukia ir jį kuria, bet greitai įsisavina medžiagą, kurią gali pritaikyti už pamokos ribų. Tyrimo metu paaiškėjo, kad taikant darbe p

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CHEN, HUNG-CHING (JUSTIN), MARK GOLDBERG, MALIK MAGDON-ISMAIL, and WILLIAM A. WALLACE. "REVERSE ENGINEERING A SOCIAL AGENT-BASED HIDDEN MARKOV MODEL — ViSAGE." International Journal of Neural Systems 18, no. 06 (2008): 491–526. http://dx.doi.org/10.1142/s0129065708001750.

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We present a machine learning approach to discover the agent dynamics that drives the evolution of the social groups in a community. We set up the problem by introducing an agent-based hidden Markov model for the agent dynamics: an agent's actions are determined by micro-laws. Nonetheless, We learn the agent dynamics from the observed communications without knowing state transitions. Our approach is to identify the appropriate micro-laws corresponding to an identification of the appropriate parameters in the model. The model identification problem is then formulated as a mixed optimization pro

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Blomberg, Mathias, and Line Ekman. "En, två eller flera historier? – undervisning för decentrering av historiska narrativ." Forskning om undervisning och lärande 8, no. 2 (2020): 5–26. http://dx.doi.org/10.61998/forskul.v8i2.27160.

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Denna studie fokuserar på hur elever kan utveckla en interkulturell historisk kompetens i termer av decentering. Som lärare i etniskt heterogena elevgrupper ser vi ett behov av ett historieberättande som inte enbart fokuserar på en västerländsk kanon. Istället behöver de historiska narrativ som vanligtvis dominerar problematiseras och kompletteras med alternativa narrativ i syfte att skapa en mer mångfacetterad historieundervisning. Studien genomfördes som en learning study och bygger på tre cykler av forskningslektioner. Materialet består i huvudsak av skriftliga för- och eftertest vilka har

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Prudhvi, Y., T. Adinarayana, T. Chandu, S. Musthak, and G. Sireesha. "Vocal Visage: Crafting Lifelike 3D Talking Faces from Static Images and Sound." International Journal of Innovative Research in Computer Science and Technology 11, no. 6 (2023): 13–17. http://dx.doi.org/10.55524/ijircst.2023.11.6.3.

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In the field of computer graphics and animation, the challenge of generating lifelike and expressive talking face animations has historically necessitated extensive 3D data and complex facial motion capture systems. However, this project presents an innovative approach to tackle this challenge, with the primary goal of producing realistic 3D motion coefficients for stylized talking face animations driven by a single reference image synchronized with audio input. Leveraging state-of-the-art deep learning techniques, including generative models, image-to-image translation networks, and audio pro

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Vikström, Anna. "Vad är det som gör skillnad? – vad undervisningen måste göra synligt och vad eleverna måste lära sig för att förstå begreppet materia." Forskning om undervisning och lärande 3, no. 15 (2015): 22–37. http://dx.doi.org/10.61998/forskul.v3i15.27520.

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Materiabegreppet, särskilt dess partikelnatur, är ett nyckelbegrepp i naturvetenskaplig undervisning och av central betydelse för att förstå många naturvetenskapliga fenomen. Inom ramen för tre Learning studies inom tre olika naturvetenskapliga områden utforskades begreppet i syfte att finna ut vad eleverna måste lära sig för att förstå ett fenomen på ett specifikt sätt. Med variationsteori som guidande princip planerades och genomfördes lektioner som videofilmades. Elevernas lärande analyserades med hjälp av för- och eftertest. Detta gjorde det möjligt att studera relationen mellan undervisni

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Jekel, Leon, Khaled Bousabarah, MingDe Lin, et al. "NIMG-02. PACS-INTEGRATED AUTO-SEGMENTATION WORKFLOW FOR BRAIN METASTASES USING NNU-NET." Neuro-Oncology 24, Supplement_7 (2022): vii162. http://dx.doi.org/10.1093/neuonc/noac209.622.

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Abstract PURPOSE Monitoring metastatic disease to the brain is laborious and time-consuming, especially in the setting of multiple metastases and when performed manually. Response assessment in brain metastases based on maximal unidimensional diameter as per the RANO-BM guideline is commonly performed1, however, accurate volumetric lesion estimates can be crucial for clinical decision-making2 and enhance outcome prediction3. We propose a deep learning (DL)-based auto-segmentation approach with the potential for improvement of time-efficiency, reproducibility and robustness against inter-rater

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Sveider, Cecilia, Anja Thorsten, and Joakim Samuelsson. "Undervisning som utvecklar elevers förmåga att förstå likvärdiga bråk." Forskning om undervisning och lärande 12, no. 3 (2024): 39–59. http://dx.doi.org/10.61998/forskul.v12i3.26656.

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Syftet med studien är att bidra med kunskap om vilka möjligheter elever får för att lära sig förstå likvärdiga bråk vid olika lektionsdesigner. För att besvara detta syfte genomfördes en Learning study i tre cykler i årskurs 5 med 58 elever. Elevernas möjligheter till lärande analyserades både kvalitativt genom observation av undervisningen och kvantitativt genom test där eleverna fick visa sina kunskaper om likvärdiga bråk före och efter lektionerna. Lektionerna designades med stöd av variationsteori och matematikdidaktisk forskning. Resultaten visar att eleverna utvecklade sin förmåga i alla

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Tambovceva, Tatjana, and Ineta Geipele. "ENVIRONMENTAL MANAGEMENT SYSTEMS EXPERIENCE AMONG LATVIAN CONSTRUCTION COMPANIES / APLINKOS APSAUGOS VADYBOS SISTEMŲ TAIKYMO PATIRTIS LATVIJOS STATYBOS ĮMONĖSE." Technological and Economic Development of Economy 17, no. 4 (2012): 595–610. http://dx.doi.org/10.3846/20294913.2011.603179.

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At the present stage of development in Latvia, as well as around the world, essential influence on the enterprise work has the idea of sustainable development. The concept of sustainable development has become widespread amongst government agencies, politicians, corporations and other organizations throughout the world. By the end of 2007, around 129,031 organizations worldwide have implemented environmental management systems (EMS) and certified it according to ISO 14001. About 100 of them are located in Latvia and 40 of them are construction companies. There is a lack of national evaluations

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Soni, Avni. "Cutting-Edge Methods in Visage Expression Recognition and Ocular Tracking for Analyzing Remote Video Interviews." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 09 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem37620.

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This paper focuses to augment an in the flesh image and video processor, capacitated with an artificial intelligence (AI) arbitrator that can speculate a job interviewee’s behavioral adeptness according to the facial dictions or expressions. We put forward a sentiment analysis model using machine learning and CNN for the reinforcement of decision-making in the job interview process. This is bought up by histogram of oriented gradients and support vector machine (HOG-SVM) with the addition of convolutional neural network (CNN) recognition in real-time video recorded interviews. The goal of appl

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Soh, Zhi Da, Yixing Jiang, Sakthi Selvam S/O Ganesan, et al. "From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning." PLOS Digital Health 2, no. 2 (2023): e0000193. http://dx.doi.org/10.1371/journal.pdig.0000193.

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Anterior chamber depth (ACD) is a major risk factor of angle closure disease, and has been used in angle closure screening in various populations. However, ACD is measured from ocular biometer or anterior segment optical coherence tomography (AS-OCT), which are costly and may not be readily available in primary care and community settings. Thus, this proof-of-concept study aims to predict ACD from low-cost anterior segment photographs (ASPs) using deep-learning (DL). We included 2,311 pairs of ASPs and ACD measurements for algorithm development and validation, and 380 pairs for algorithm testi

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Bengtsson, Daniel, Maria Weiland, and Per Anderhag. "Innehåller silver kol? – en studie om elevers begreppsanvändning när de arbetar med kolets kretslopp." Forskning om undervisning och lärande 5, no. 1 (2017): 6–25. http://dx.doi.org/10.61998/forskul.v5i1.27457.

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Denna artikel presenterar resultat från en studie om elevers begreppsanvändning när de arbetar med kolets kretslopp i årskurs 7-9. Utifrån en lärargrupps tidigare erfarenheter, om de svårigheter elever har kring kolets kretslopp, utformades en lektion i syfte att stödja elevernas lärande och begreppsanvändning inom detta område. Lektionen innehöll två aktiviteter som var utformade så att eleverna skulle samtala tillsammans och förhoppningsvis ta stöd i relevant terminologi. Resultatet visade att uppgifterna stimulerade eleverna till att samtala om processer och fenomen relaterade till kolets k

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Zwanziger, Elizabeth. "Post-Pandemic Pedagogy: Multimodal Tools in French Instruction." French Review 98, no. 2 (2024): 121–25. https://doi.org/10.1353/tfr.2024.a947606.

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ABSTRACT: The challenging periods of emergency remote teaching, and face-to-face teaching with face coverings, forced educators to rethink and revamp pedagogical tools and techniques, many of which endure in teaching today. Multimodal tools such as collaborative posting boards increased student-to-student interaction and offered more teacher feedback during virtual learning. Audio and visual flashcards provided auditory and visual speech cues that were lacking while teachers wore masks. Although some uses of these tools may have shifted since the pandemic, they remain intact as part of current

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15

Kushmi, Angel. "Reading as a Means of Healing Trauma in Markus Zusak’s The Book Thief." Contemporary Research: An Interdisciplinary Academic Journal 7, no. 1 (2024): 1–14. http://dx.doi.org/10.3126/craiaj.v7i1.67248.

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This research paper attempts to examine how reading books help for healing trauma of victim in Markus Zusak’s The Book Thief. Liesel Meminger, the protagonist gains rational power from her learning of reading books that Hans taught when she started stealing books from grave yard and the markets. Indeed, this study highlights that her habit of passionate reading of books in the war period heals her psychological disorder by forgetting her past. Relying on the concepts of Dominic LaCapra's "Writing History, Writing Trauma", Cathy Caruth's "trauma as a wound”, Herman’s “the role of memory and nar

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Nyberg, Gunn. "Att urskilja och erfara sitt sätt att springa – kan elever lära sig det i idrott och hälsa?" Forskning om undervisning och lärande 6, no. 1 (2018): 43–63. http://dx.doi.org/10.61998/forskul.v6i1.27409.

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Att utveckla elevers allsidiga rörelseförmågor är ett syfte med ämnet idrott och hälsa. Vad rörelseförmåga innebär är dock otydligt och följaktligen även vad eleverna ska kunna. Den Learning study som rapporteras i den här artikeln utgår från resultatet av ett forskningsprojekt där syftet var att utforska vad rörelseförmåga kan innebära. Att urskilja och erfara sitt sätt att röra sig visade sig vara ett kunnande som var betydelsefullt för utveckling av rörelseförmågan hos kunniga idrottsutövare. Syftet med denna studie var a, att undersöka vad det kan innebära att kunna urskilja och erfara sit

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17

Rimkutė, E., and M. Dovydaitienė. "MOKYMOSI NEGALIOS: SKIRTINGI TEORINIAI POŽIŪRIAI IR PSICHOLOGINĖS PAGALBOS BŪDAI." Psichologija 44 (January 1, 2011): 118–33. http://dx.doi.org/10.15388/psichol.2011.44.2544.

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Straipsnyje nagrinėjami kai kurie metodologiniai mokymosi negalių tyrimo ir koregavimo klausimai. Siekiant išryškinti bendriausius šios problemos sprendimo principus gretinama analitinė ir holistinė mokslinio pažinimo prieiga. Moderniojoje akademinėje psichologijoje vyraujanti analitinė prieiga reiškiasi įsitikinimu, kad sudėtingą reiškinį galima pažinti jį skaidant dalimis, aiškinantis jų tarpusavio ryšius ir kaupiant empiriškai patikrinamus faktus. Ši tendencija būdinga gausiai ir įvairiai mokymosi negalias nagrinėjančiai ir jų koregavimo būdus siūlančiai ir vertinančiai literatūrai, tačiau

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Hansson, Henrik. "Betydelsen av att variera innehållsliga aspekter för yngre elevers lärande av platsvärde." Forskning om undervisning och lärande 7, no. 3 (2019): 48–74. http://dx.doi.org/10.61998/forskul.v7i3.27238.

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Forskning har visat att elever kan ha svårt att förstå platsvärde och att undervisning inte alltid lyckas med att utveckla deras kunskap om begreppet. Syftet med studien är att bidra med kunskap om undervisning av platsvärde i grundskolans tidigare år. I studien definieras platsvärde som det värde en siffra representerar i ett tal, utifrån var i talet den står. Studien genomfördes av en grupp lärare och en forskare i en intervenerande och iterativ process med 20 elever i grundskolans årskurs 2. Variationsteorin har använts för att analysera videoinspelade lektioner med fokus på vad som gjordes

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Gangadhar Puranik, Vishal, Vasudhevan V, Sunil Kumar, Kalpana C, Amutha J, and Ramesh Babu P. "Differential Genetic Algorithm for Auto-Overlay of the Skull and Face and Mandible Articulation." Informing Science: The International Journal of an Emerging Transdiscipline 28 (2025): 011. https://doi.org/10.28945/5431.

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Aim/Purpose: This work intends to give a method for the automatic superimposition of facial and cranium anatomical images coupled with integrating jaw movement. Using an automated alignment method will help to raise the accuracy and efficiency of the forensic face reconstruction procedure. Given their reliance on human participation, conventional approaches are prone to subjectivity and errors. Differential Genetic Algorithm (DGA) accounts for mandibular articulation and allows for exact alignment of skull and facial images, therefore reaching strong optimization. Background: Forensic face rec

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Ardiansyah, Ardiansyah, Budi Suryadi, and Tomi Oktavianor. "Limited Visage-to-Visage Learning Program in Watersheds." International Journal of Business and Applied Social Science, March 30, 2023, 28–31. http://dx.doi.org/10.33642/ijbass.v9n3p4.

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The government conducted an evaluation and concluded that there is a need for visage-to-visage learning from students who even matter in implementing gap learning. The approach that will be used is a qualitative oncoming with a descriptive method in the shape of data that describes in detail the phenomenon that case in the field in a finite visage-to-visage learning program. The results showed that the optimal policy implementation process occurred in communication factors between organizations and the attitudes of implementers or implementors while the resource factor still needed improvement

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S., Sree Rama Vamsidhar, Arun Kumar Sivapuram, Vaishnavi Ravi, Gowtham Senthil, and Rama Krishna Gorthi. "Visal—A novel learning strategy to address class imbalance." Neural Networks, January 2023. http://dx.doi.org/10.1016/j.neunet.2023.01.015.

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Gideão Pelegrino de Abreu, Jefferson Oliveira Andrade, and Karin Satie Komati. "Deepfake detection using Eulerian video magnification and Deep Learning." Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE), December 2, 2024. https://doi.org/10.55592/cilamce.v6i06.10150.

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The Internet witnesses millions of video views every minute in the contemporary landscape of extensive data proliferation and ubiquitous social media use. In this context, the burgeoning advancements in deepfake technologies introduce security and privacy concerns. These technologies facilitate manipulating video and audio content to an extent where someone can seamlessly replace one persons visage with anothers, or entirely synthetic videos can be crafted using real individuals voices and appearances, potentially deceiving viewers. Consequently, the malicious exploitation of deepfakes has

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Aboian, Mariam, Khaled Bousabarah, Eve Kazarian, et al. "Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction." Frontiers in Neuroscience 16 (October 13, 2022). http://dx.doi.org/10.3389/fnins.2022.860208.

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PurposePersonalized interpretation of medical images is critical for optimum patient care, but current tools available to physicians to perform quantitative analysis of patient’s medical images in real time are significantly limited. In this work, we describe a novel platform within PACS for volumetric analysis of images and thus development of large expert annotated datasets in parallel with radiologist performing the reading that are critically needed for development of clinically meaningful AI algorithms. Specifically, we implemented a deep learning-based algorithm for automated brain tumor

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Amruta Nagesh Chitari, Dr. Sharanabasava Inamadar, and Dr. Pradip Salve. "Deep Face Recognition Using Deep Learning for Fractional Visible Faces." Nanotechnology Perceptions, November 5, 2024, 3446–53. https://doi.org/10.62441/nano-ntp.vi.3512.

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In today's fully digitized society, there is a necessity for a primary, dependable, and sophisticated mechanism similar to computer-based facial recognition systems utilized in privacy management contexts. Numerous face recognition (FR) systems are dependable for "ideal frontal facial images/data." In some instances, a portion of the face is obscured, rendering the entire frontal visage potentially invisible. Consequently, the issue of face identification utilizing fractional facial data (occluded face data) is an emerging study domain. The implementation of deep learning solutions in this dom

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Soh, Zhi-Da, Mingrui Tan, Zann Lee, et al. "Deep learning-based normative database of anterior chamber dimensions for angle closure assessment: the Singapore Chinese Eye Study." British Journal of Ophthalmology, November 1, 2024, bjo—2024–325602. http://dx.doi.org/10.1136/bjo-2024-325602.

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Background/ AimsThe lack of context for anterior segment optical coherence tomography (ASOCT) measurements impedes its clinical utility. We established the normative distribution of anterior chamber depth (ACD), area (ACA) and width (ACW) and lens vault (LV), and applied percentile cut-offs to detect primary angle closure disease (PACD; ≥180° posterior trabecular meshwork occluded).MethodsWe included subjects from the Singapore Chinese Eye Study with ASOCT scans. Eyes with ocular surgery or laser procedures, and ocular trauma were excluded. A deep-learning algorithm was used to obtain Visante

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Stasolla, F., V. Perilli, and A. Boccasini. "Technological Options for Promoting Adaptive Behaviors of Children with Fragile X Syndrome." July 1, 2016. https://doi.org/10.19070/2332-3000-160006e.

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Fragile X syndrome (FXS) is a genetic pathology due to an excessive length of a repetitive sequence of trinucleotides (CGG) in a specific gene (FMR1), matched to FMR1 protein, which is primarily responsible for the regular brain developing and functioning. It represents one of the most usual cause of developmental disabilities with learning difficulties as consequence of intellectual, communicative and social disorders. Additionally, anxiety, hyperactivity, seizures, gaze avoidance and autism spectrum disorders are frequently described within its patterns, basically occurring in males. FXS phy

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Gladys, Michael, Lachlan Rogers, Galiya Sharafutdinova, Nicholas Barnham, Patrick Nichols, and Paul C. Dastoor. "Driving Course Engagement Through Multimodal Strategic Technologies." International Journal of Innovation in Science and Mathematics Education 30, no. 3 (2022). http://dx.doi.org/10.30722/ijisme.30.03.002.

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This paper describes the development of a new second-year level undergraduate Physics course at the University of Newcastle, comprising three four-week modules (encompassing Special Relativity, Nuclear and Particle Physics) for a combined roster of both Newcastle and James Cook students. A series of multimodal digital learning technology platforms were employed to see if they could maximise student engagement. Specifically, a flipped classroom system was trialled whereby students were tasked with creating their own lecture notes from online videos (created using Lightboard and PowerPoint). Thi

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Gladys, Michael, Lachlan Rogers, Galiya Sharafutdinova, Nicholas Barnham, Patrick Nichols, and Paul C. Dastoor. "Driving Course Engagement Through Multimodal Strategic Technologies." International Journal of Innovation in Science and Mathematics Education 30, no. 3 (2022). http://dx.doi.org/10.30722/ijisme.30.03.002.

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This paper describes the development of a new second-year level undergraduate Physics course at the University of Newcastle, comprising three four-week modules (encompassing Special Relativity, Nuclear and Particle Physics) for a combined roster of both Newcastle and James Cook students. A series of multimodal digital learning technology platforms were employed to see if they could maximise student engagement. Specifically, a flipped classroom system was trialled whereby students were tasked with creating their own lecture notes from online videos (created using Lightboard and PowerPoint). Thi

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Jabarulla, M. Y., T. Uden, P. Beerbaum, and S. Oeltze-Jafra. "Artificial intelligence in pediatric echocardiography-Automated view classification and image anonymization in rare cardiac malformations on the example of borderline HLHS." European Heart Journal 44, Supplement_2 (2023). http://dx.doi.org/10.1093/eurheartj/ehad655.061.

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Abstract Background/Introduction Artificial intelligence (AI) has already much potential in adult echocardiography. However, there is still few experience in how to effectively implement AI methods in pediatric echocardiography. Since children with congenital heart defects show a large anatomical variance, AI-based image analysis tools adapted to this group are necessary. For the fundamentally needed steps of an automatic image data anonymization and a view classification there are still no reliable tools available. Purpose We have developed an anonymization tool for pediatric echocardiography

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Koivusalo, Elina, and Maarit Alasuutari. "Varhaiskasvatuksen opettajaopintoihin ja varhaiskasvatusalaan sitoutuminen." JYU Reports, November 25, 2024, 1–66. http://dx.doi.org/10.17011/jyureports/2024/51.

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Tämä raportti esittelee Opetus- ja kulttuuriministeriön rahoittaman ja Jyväskylän yliopiston toteuttaman Varhaiskasvatuksen opettajaopintoihin ja varhaiskasvatusalaan sitoutuminen (SIMO) -hankkeen kyselytutkimuksen tuloksia. Hankkeessa oltiin kiinnostuneita varhaiskasvatuksen opettajaopiskelijoiden sitoutumisesta varhaiskasvatusalan koulutukseen ja myöhemmin varhaiskasvatusalaan. Kyselytutkimus ajoittui tammi- ja helmikuulle 2024, ja siinä kartoitettiin varhaiskasvatuksen opettajaopintoihin hakeutumisen syitä, kokemuksia opinnoista ja opintoihin sitoutumista, syitä mahdolliseen opintojen keske

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