Large-Language-Model-Enabled Text Semantic Communication Systems by Zhenyi Wang, Li Zou, Shengyun Wei, Kai Li, Feifan Liao, Haibo Mi, Rongxuan Lai

“…Large language models (LLMs) have recently demonstrated state-of-the-art performance in various natural language processing (NLP) tasks, achieving near-human levels in multiple language understanding challenges and aligning closely with the core principles of semantic communication Inspired by LLMs’ advancements in semantic processing, we propose LLM-SC, an innovative LLM-enabled semantic communication system framework which applies LLMs directly to the physical layer coding and decoding for the first time. By analyzing the relationship between the training process of LLMs and the optimization objectives of semantic communication, we propose training a semantic encoder through LLMs’ tokenizer training and establishing a semantic knowledge base via the LLMs’ unsupervised pre-training process. …”
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Evaluating the long-term impact of large-scale trainings: an exposure based cross-sectional study on female genital mutilation-related knowledge, attitudes and practices among Suda... by Stephen Gloyd, Carey Farquhar, Mohammed Abdelrahim, Wisal Ahmed, Nancy Puttkammer

“…Midwives who had FGM training were more aware that performing FGM violates code of conduct (p=0.001) and reported to always counsel patients to abandon FGM (p<0.001) compared with midwives who did not report training. …”
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Ultra-Reliable and Low-Latency Wireless Hierarchical Federated Learning: Performance Analysis by Haonan Zhang, Peng Xu, Bin Dai

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A Two-Level Rule-Mining Approach to Classify Breast Cancer Patterns Using Adaptive Directed Mutation and Genetic Algorithm by Hui-Ching Wu, Ming-Hseng Tseng

“…This paper proposes a novel classification technique for extracting malignant prediction rules from training datasets containing numerical and binary nominal attributes. …”
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Machine Learning-Based 3D Soil Layer Reconstruction in Foundation Pit Engineering by Chenxi Zhang, Nan Li, Xiuping Dong, Bin Liu, Meilian Liu

“…First, various types of borehole and soil layer data are generated by simulating the formation process of Earth’s soil layers, thereby providing sufficient training data. Subsequently, a coding algorithm is designed to extract soil layer features as inputs for the convolutional neural network. …”
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Prognostic Role of Circulating miR-141 in Early Diagnosis of Colorectal Cancer by Merve Simsek Dilli, Ertugrul Bayram, Ismail Oguz Kara

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Millennial Leaders’ Preferences for Leadership Development: A Qualitative Analysis by Carolyn Easton, Renier Steyn

“…Content analysis was used to analyse the qualitative data collected, and coded themes were generated. The participants’ responses favoured more specific leadership development, such as structured mentorship programmes, experiential learning or on-the-job training, soft skills training, and digital online training with remote access. …”
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Unsupervised Multivariate Time Series Data Anomaly Detection in Industrial IoT: A Confidence Adversarial Autoencoder Network by Jiahao Shan, Donghong Cai, Fang Fang, Zahid Khan, Pingzhi Fan

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Problems Faced by Students with Intellectual Disabilities in Their Participation in Sports Education: Parent Views by Hüseyin Can İkizler, Seher Akşit, Semra Arslan, İrem Altan Aksu, Reyhan Dağ, Emine Büşra Yılmaz, Sevim Akşit

“…The data obtained from all three groups were thematic analysis and analyzed by creating codes, categories and themes. As a result of the analysis of the data obtained, the findings were collected under four main themes in accordance with the theoretical framework. …”
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Building boundary-crossers in clinical-translational research: An exploratory study of a novel communication intervention by Carrie Cameron, Irene Rull-Garcia, Laura G. Meyer, Jose-Armando Fernandez-Guerrero, Erin K. Dahlstrom, Christine Bell, Christine Pribbenow

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varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction by Lusiné Nazaretyan, Philipp Rentzsch, Martin Kircher

“…These data-driven methods require comprehensive training sets to deliver reliable results. However, large unbiased datasets for variant prioritization and effect predictions are rare as most of the available databases do not represent a broad ensemble of variant effects and are often biased towards the protein-coding genome, or even towards few well-studied genes. …”
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The Role of Higher Education Through the Eyes of Hungarian Undergraduate Students and Graduates: A Qualitative Exploratory Study by Zsófia Kocsis, Gabriella Pusztai

“…To ensure the validity and reliability of the research results, personal triangulation was validated using the intercoding technique, which is suitable for a priori coding.  Results: The results confirmed that higher education institutions provide a good foundation for entering to the labour market, but the development of broad competencies is less advanced. …”
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Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study by Soo Hwan Park, Roshini Pinto-Powell, Thomas Thesen, Alexander Lindqwister, Joshua Levy, Rachael Chacko, Devina Gonzalez, Connor Bridges, Adam Schwendt, Travis Byrum, Justin Fong, Shahin Shahsavari, Saeed Hassanpour

“…Artificial intelligence (AI) is rapidly being introduced into the clinical workflow of many specialties. Despite the need to train physicians who understand the utility and implications of AI and mitigate a growing skills gap, no established consensus exists on how to best introduce AI concepts to medical students during preclinical training. …”
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Experiences of the International In-Training Examination (I-ITE) by Rwandan pediatric residents – a survey-study describing candidate feedback [version 2; peer review: 1 approved,... by Christian Umuhoza, Natalie McCall, Peter Thomas Cartledge

“…Free-text feedback was coded and analysed employing a phenomenological approach, with coding and analysis undertaken by two researchers. …”
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Didactic methodology in professional e-sport training. An international experience in Brawl Stars (Metodología didáctica en entrenamiento profesional de e-sport. Una experiencia... by Millán Brea Castro

“…There are three types of training which usually last approximately one hour and half per day. …”
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Incidencia de la agrupación de los jugadores en el diseño de las tareas de entrenamiento en balonmano (Impact of players' grouping on the design of handball training tasks) by David Mancha-Triguero, Belen Baquero, Sergio J. Ibáñez, Antonio Antúnez

“…To do this, the game situations were grouped into Unopposed Situations, Individual Situations, Small Sided Games of Numerical Equality, Small Sided Games of Numerical Superiority and Full Games. A total of 141 training tasks were analyzed and coded using the Integral Analysis System of Training Tasks. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…In this work, the 3D corn models derived from segmentation are employed to systematically output the fragmented point cloud data in batches. The Shape Coding PointAttN (SCPAN) algorithm is also proposed, which is based on PointAttN. …”
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Comparative Analysis of Practical Contradiction of Attaining Knowledge and the Mission of Motherhood in the Human Perfection with the Tendency of Practical Morality by maryam rastagar, reza noroozi, alli pirhadi

“…The mission of motherhood and training children is one of the particular capacities of woman, privileged perfections and divine mission on the shoulder of women that the complete consideration of it need assigning sufficient time. …”
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Multihead Average Pseudo-Margin Learning for Disaster Tweet Classification by Iustin Sîrbu, Robert-Adrian Popovici, Traian Rebedea, Ștefan Trăușan-Matu

“…Specifically, we investigate state-of-the-art semi-supervised learning models and focus on co-training, a less-explored approach in recent years. …”
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Cooperative secret key generation for multi-hop relaying systems in Internet of things by Shuaifang XIAO, Yunfei GUO, Kaizhi HUANG, Liang JIN

“…The achievable key rate of secret key generation method in multi-hop relaying systems was relative low in Internet of things.A cooperative secret key generation algorithm based on network coding was proposed to improve the achievable key rate.Firstly,all the nodes send training sequences in turn to estimate the channels.After that the relays employ secure network coding technique to assist the two legitimate users to obtain the correlative observations of the same wireless channel,with nothing leakage about the channel information to the eavesdropper.Finally,the two legitimate users agreed on a common secret key directly over the public channel.Theoretical and simulation results validate the performance of the proposed secret key generation algorithm,and obtain that increasing the wireless transmission paths,selecting the transmission path with less hops and larger variance channels can further improve the achievable secret key rate.…”
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