Successful Handling of Patient Complaints Requires Effective Training of Specialists: A Description of the CODE Training Model for Patient Complaint Excellence by Richard M. Elias MBBS, MPH, Jennifer R. Bond MSHCA, Brooke L. Werneburg MA, Sheila K. Stevens MSW, Jonathan A. Leighton MD

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Implementation of Generative Language Models (GLM) in Cyber Exercise Secure Coding using Prompt Engineering by Jeckson Sidabutar, Alfido Osdie

“…This study explores the utilization of Generative Language Models (GLMs), such as ChatGPT, in secure coding training to enhance developers' skills. GLMs were implemented in a cybersecurity platform designed specifically for secure coding training, also serving as learning assistants that users can interact with during the cyber exercise. …”
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Machine learning message-passing for the scalable decoding of QLDPC codes by Arshpreet Singh Maan, Alexandru Paler

“…Without using any post-processing, Astra achieves higher thresholds and better Logical Error Rates (LER) compared to BPOSD, both for surface codes trained up to distance 11 and Bivariate Bicycle (BB) codes trained up to distance 18. …”
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BioVizSeq: an R package for visualization the element on bio-sequences by Shiqi Zhao, Runqi Zhang, Maoqiu He, Bonian Shui, Yu Zhang

“…BioVizSeq can be conducted locally or online, providing great convenience for researchers without coding training. Its user-friendly visualization function can simultaneously meet users’ general needs and personalized exploration.…”
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BDNet: Bengali Handwritten Numeral Digit Recognition based on Densely connected Convolutional Neural Networks by Abu Sufian, Anirudha Ghosh, Avijit Naskar, Farhana Sultana, Jaya Sil, M.M. Hafizur Rahman

“…Here we have also created a dataset of 1000 images of Bengali handwritten numerals to test the trained model, and it giving promising results. Codes, trained model and our own dataset are available at C :https://github.com/Sufianlab/BDNet.…”
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Environmental Risk Mitigation via Deep Learning Modeling of Compressive Strength in Green Concrete Incorporating Incinerator Ash by Amin Amraee, Seyed Azim Hosseini, Farshid Farokhizadeh, Mohammad Hassan Haeri

“…After evaluating the efficiency and structure of the deep learning model through MATLAB coding, the focus shifted to analyzing the sensitivity of the input parameters on the output parameter using MATLAB for coding, training, and evaluation. The initial results indicate a significant effect of incinerator ash on the compressive strength of concrete. …”
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Exploring discrepancies in clinical coding between rural and urban hospitals in Aotearoa New Zealand in patients who underwent interhospital transfer by Anna Donaldson, Rory Miller, Garry Nixon, Gabrielle Davie

“…Anecdotally, clinical coding in NZ rural hospitals is often performed by clinicians or reception staff without formal coding training; in urban NZ hospitals this would usually be completed by formally trained clinical coders. …”
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