Doctor-Patient Communication in Tanzanian Public Hospitals: Language Use, Code-Switching, and Accommodation Strategies by PRISCA BONIPHACE MAKULILO

“…Data were analyzed using NVivo 12 software, enabling thematic coding and sentiment analysis. Findings revealed that Swahili was the dominant language, but code-switching with English was common, particularly for technical terms. …”
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Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude by Andrei Sobo, Awes Mubarak, Almas Baimagambetov, Nikolaos Polatidis

“…This study investigates the effectiveness of Large Language Models (LLMs) in generating code for Human-Robot Interaction (HRI) applications. …”
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THE USE OF CODING-BASED LEARNING MATERIAL (CBLM) IN PROMOTING CRITICAL READING SKILS: CHALLENGES AND BENEFITS by Yuyun Ilantri, Sri Setyarini, Siti Rojab Rodliyah

“…Analysis was conducted using thematic coding, drawing on Dual Coding Theory, which suggests that multimedia use enhances comprehension by activating both visual and verbal processing channels. …”
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Digital financial literacy: Leveraging QR code technology for effective cash flow management in MSMEs by Riska Nur Rosyidiana, Mochammad Nurul, Wahyu Firmandani, Shafi Wijdan Kurniawan

“…This program explores the capacity of QR Code technology, specifically the Quick Response Code Indonesian Standard (QRIS), to improve the management of cash flow in MSMEs. …”
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Improving efficiency in hospital pharmacy systems: the case for color-coded zones for rapidly dispensed medications by Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Faris El-Dahiyat, Abeer M. Al-Ghananeem

“…Colour-coded zones for rapidly dispensed medications are a simple, yet game-changing solution to improve the efficiency and safety of hospital pharmacy systems. …”
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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments by Billel Essaid, Hamza Kheddar, Noureddine Batel, Muhammad E. H. Chowdhury

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Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare by Muthu Ramachandran, Steven Fouracre

“…While Code Gen AI can enhance productivity by up to 55% in controlled environments, systems trained on unfiltered, large-scale datasets often increase code duplication, churn, and error rates. …”
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Where Does mBERT Understand Code-Mixing? Layer-Dependent Performance on Semantic Tasks by Aditya Somani, S. R. Mithun Kumar, Aruna Malapati

“…Semantic tasks like lexical relation prediction and word analogy are crucial for deep language understanding, yet pose significant challenges when applied to code-mixed text, where multiple languages are interwoven. …”
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What's in a face: Automatic facial coding of untrained study participants compared to standardized inventories. by T Tim A Höfling, Georg W Alpers, Björn Büdenbender, Ulrich Föhl, Antje B M Gerdes

“…Automatic facial coding (AFC) is a novel research tool to automatically analyze emotional facial expressions. …”
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Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages by Muhammad Kashif Nazir, Cm Nadeem Faisal, Muhammad Asif Habib, Haseeb Ahmad

“…Subsequently, the Multilingual Bidirectional Encoder Representations from Transformers (mBERT) model was optimized and trained for multiclass sentiment analysis on the code-mixed data. …”
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CADTrans: A code tree-guided CAD generative transformer model with regularized discrete codebooks by Xufei Guo, Xiao Dong, Juan Cao, Zhonggui Chen

“…Secondly, these codebooks are used to normalize a CAD construction sequence into a structured code tree representation which is then used to train a standard transformer network to reconstruct the code tree. …”
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5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method by Daisuke Hisano, Keigo Matsumoto, Yoshiaki Inoue, Yuko Hara, Kazuki Maruta, Yu Nakayama, Hiroshi Tatsukawa, Yuji Kawai, Yoshinori Shinohara, Hiroki Ikeda

“…This paper presents the first outdoor field trials of deep joint source-channel coding (DeepJSCC) for image transmission over a 5G system. …”
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Replicating Current Procedural Terminology code assignment of rhinology operative notes using machine learning by Christopher P. Cheng, Ryan Sicard, Dragan Vujovic, Vikram Vasan, Chris Choi, David K. Lerner, Alfred‐Marc Iloreta

“…The Decision Tree, Support Vector Machine, Logistic Regression and Naïve Bayes (NB) algorithms were used to train and test models on operative notes. Model‐classified CPT codes were compared to codes assigned by operating surgeons. …”
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Basal ganglia output (entopeduncular nucleus) coding of contextual kinematics and reward in the freely moving mouse by Anil K Verma Rodriguez, Josue O Ramírez-Jarquin, Román Rossi-Pool, Fatuel Tecuapetla

“…In this study, we sought to understand how the rodent EPN might be coding kinematic, reward, and difficulty parameters, particularly during locomotion. …”
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The Effect of Resistance Training on Physical Characteristics Hemarthrosis Joints by Behrouz Parhampour, Giti Torkaman, Hamid Horfar, Mehdi Hedayati, Roya Ravanbod

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LPRLC: Linear predictive run length coding to improve energy consumption of wireless body area networks by Mahdieh Hajiloo Vakil, Zahra Shirmohammadi

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Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging by Eun Young Choi, Joon Yul Choi, Tae Keun Yoo

“…Conclusion By utilizing ChatGPT-4 with code-free prompts, we overcame the technical barriers associated with using coding skills for developing prediction models, making it feasible to build a risk calculator for DR and DME prediction. …”
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Tennis training model to improve groundstroke skills in children by Ngatman Ngatman, Guntur Guntur, Ismail Gani, Danang Pujo Broto

“…The purpose of this study is to develop an effective training model for practising basic tennis groundstrokes for children aged 8-12 years old based on the action method coaching framework. …”
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Academic-Career Counseling Based on the Brain Training Approach by Khadijeh Torki, Maryam Baratali, Zohreh Saadatmand, Zahra Yousefi

“…Results: The findings from the analysis indicate that the curriculum counseling framework, informed by the brain training approach, comprises: motivation derived from the brain training methodology - physiological psychology - family counseling utilizing the brain training perspective - academic guidance - career counseling grounded in the brain training approach - assessments of intelligence and aptitude within the context of self-awareness and academic advising - personal development strategies informed by the brain training model - positive psychology as conceptualized through the brain training lens - social psychology framed by the principles of brain training - personality psychology as influenced by the brain training methodology - cognitive psychology informed by the brain training paradigm - and metacognitive psychology based on the brain training approach, alongside considerations of mental health challenges. …”
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Ethnography of Code-Switching: A Classroom-Based Study in Bilingual (English–Arabic) Islamic Boarding Schools by Ahmadi Ahmadi

“… This research explores the phenomenon of code-switching in bilingual (English–Arabic) classrooms within Islamic boarding schools (pesantren) in Indonesia. …”
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