m-QAM Receiver Based on Data Stream Spectral Clustering for Optical Channels Dominated by Nonlinear Phase Noise by Miguel Solarte-Sanchez, David Marquez-Viloria, Andrés E. Castro-Ospina, Erick Reyes-Vera, Neil Guerrero-Gonzalez, Juan Botero-Valencia

“…Additionally, it was combined with a demapping process for m-QAM to resolve labeling inconsistencies when processing windowed data. …”
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Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis by Mairead Black, Cassandra Yuill, Mairi Harkness, Sayem Ahmed, Linda Williams, Kathleen A Boyd, Maggie Reid, Amar Bhide, Neelam Heera, Jane Huddleston, Neena Modi, John Norrie, Dharmintra Pasupathy, Julia Sanders, Gordon C S Smith, Rosemary Townsend, Helen Cheyne, Christine McCourt, Sarah Stock

“…Design The CHOICE study comprised a prospective multicentre observational cohort study using routinely collected data (CHOICE cohort), a process evaluation comprising a survey and nested case studies (qCHOICE) and a cost-effectiveness analysis. …”
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Thermal performance estimation and optimisation of a shallow geothermal compound heat pumping system for combined process heating and cooling by J.E. De León-Ruiz, R. Beltrán-Chacón, I. Carvajal-Mariscal, M. Venegas, A. Ponsich

“…Finally, the complementary economic assessment showed that this setup, on average, resulted in a 10.5 % gross energy cost reduction, based on doubling the batch processing rate. Based on this information, the presented compound system, is capable of boosting available source capacity, whilst simultaneously producing serviceable heating, cooling and residual outputs. …”
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Optimization of process conditions and kinetic microbial growth for milk fermentation using domestic kefir grains from Costa Rica by Isabela de Sainz, Mauricio Redondo-Solano, Godofredo Solano, Lautaro Ramírez

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Secure edge-based smart grid communication using lightweight authentication modeling with autoencoders and real-world data by Omar Abdullah Saleh, Mesut Cevik

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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study by Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

“… Abstract BackgroundPopularized by ChatGPT, large language models (LLMs) are poised to transform the scalability of clinical natural language processing (NLP) downstream tasks such as medical question answering (MQA) and automated data extraction from clinical narrative reports. …”
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Lightweight CNN model for automatic detection and depth estimation of subsurface voids using GPR B-scan data by Abdelaziz Mojahid, Driss EL Ouai, Khalid EL Amraoui, Khalil EL-Hami, Hamou Aitbenamer, Jochem Verrelst, Pier Matteo Barone

“…Testing experiments were performed using eight profiles where cavity detection was confirmed by borehole data. The results demonstrate an impressive 100% success rate for cavity detection and over 95% accuracy in depth estimation. …”
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A Two-Step Motion Compensation Method for Polar Format Images of Terahertz SAR Based on Echo Data by Shaowen Luo, Qiuyan Wang, Yinwei Li, Xiaolong Chen, Yiming Zhu

“…The effectiveness of the proposed method is verified through simulation and actual measurement data processing of 0.22-THz airborne spotlight SAR system.…”
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Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment by Zhun Wang, Xue Chen

“…Then, by introducing the decision tree algorithm, the overfitting is reduced and the data processing speed of the model is improved, and on this basis, the feature selection is carried out through the “gain rate” optimization method, which reduces the redundant information of the feature vector. …”
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Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai by V. A. Nevzorova, T. A. Brodskaya, K. I. Shakhgeldyan, B. I. Geltser, V. V. Kosterin, L. G. Priseko

“…The χ2, Fisher and MannWhitney tests, univariate logistic regression (LR) were used for data processing and analysis. To build predictive models, we used following machine learning (ML) methods: multivariate LR, Weibull regression, and stochastic gradient boosting.Results. …”
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Online gambling forums as a potential target for harm reduction: an exploratory natural language processing analysis of a reddit.com forum by Mark van der Maas, Jim Samuel

“…The dataset covers posts and comments from August 5, 2015, to October 30, 2023. Natural language processing (NLP) techniques were used to identify common terms and phrases, identify topics with high rates of participant engagement and perform a sentiment analysis of posts and comments. …”
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Using implementation strategies to promote the maintenance of Kids SIPsmartER in rural Appalachian middle schools: a process evaluation by Kathleen J. Porter, Annie L. Reid, Theresa Markwalter, Brittany M. Kirkpatrick, Hannah G. Walters, Cheyanne E. Helms, Lee Salyers, Jamie M. Zoellner

“…The trial design supported its maintenance after the initial Researcher-Led Year allowing for continued collection of implementation data. Methods This concurrent mixed method process evaluation included six data sources: fidelity checklists, teacher interviews and surveys, principal interviews and surveys, and researcher-maintained field notes. …”
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PiezoSight: Coupling vision based tactile sensor neural network processing and piezoresistive stimulation for enhanced piezo-vision hybrid sensing by Abdullah Solayman, Hussain Sajwani, Oussama Abdul Hay, Rui Chang, Laith AbuAssi, Abdulla Ayyad, Yahya Zweiri, Yarjan Abdul Samad

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RFSoC Modulation Classification With Streaming CNN: Data Set Generation & Quantized-Aware Training by Andrew Maclellan, Louise H. Crockett, Robert W. Stewart

“…This paper introduces a novel FPGA-based Convolutional Neural Network (CNN) architecture for continuous radio data processing, specifically targeting modulation classification on the Zynq UltraScale+ Radio Frequency System on Chip (RFSoC) operating in real-time. …”
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A Solution Approach on Reducing Defects in Batik Tanah Liek Production Process of a Small and Medium-sized Enterprise by Agus Sutanto, Nilda Tri Putri, Tessa Alqifti, Sha'ri Mohd Yusof

“…Data was gathered through a questionnaire to capture perspectives on defects and quality control issues in batik production. …”
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Design of an FPGA-Based High-Speed Data Acquisition System for Frequency Scanning Interferometry Long-Range Measurement by Sivagunalan Sivanathan, Mohammed Ali Roula, Kang Li, Dun Qiao, Nigel Joseph Copner

“…We demonstrate that the digitized data samples can be efficiently transmitted to a polarization controller (PC) application via a USB interface for further processing.…”
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Enhancing Prospecting Target Prediction Precision: A Multi-Source Data Mining Approach in Gansu’s Beishan Area by Lihui Zhu, Runsheng Han, Yan Zhang, Hao Fu, Jianmin Luo, Yunzhi Luo

“…Verification using field sampling data revealed that the actual mineralization rate in the level-I target area reached 52.6%. …”
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Co-designing interventions to improve emergency department discharge communication with youths, parents and healthcare providers: a process evaluation by Allyson J Gallant, Janet A Curran, Mari Somerville, Lori Wozney, Christine Cassidy, Alannah Delahunty-Pike, Rebecca Mackay, Shannon MacPhee, Emma Burns, Helen Wong, Melanie Doyle, Amy Plint, Roger Zemek

“…Process data was captured through meeting recordings, surveys and exit interviews. …”
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Determination of α+nucleus optical potential relevant for p-process study from the natIn(α, α) elastic scattering by Basak Dipali, Bar Tanmoy, Sahoo Lalit Kumar, Saha Sukhendu, Rana Tapan Kumar, Bhattacharya Chandana, Manna Santu, Kundu Samir, Sahoo Jayanta Kr, Meena Jaikiran, Saha Amiya Kr, Basu Chinmay

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Bidirectionally Coupled FE-CFD Simulation Study on MQL Machining Process of Ti-6Al-4V Alloy by Xiaorong Zhou, Lin He, Sen Yuan, Hongwan Jiang, Jing Deng, Feilong Du, Jingdou Yang, Zebin Su

“…Subsequently, an integrated FE-CFD modeling approach was developed to simulate Ti-6Al-4V alloy turning under MQL conditions with varying feed rates. The novel methodology involved transferring thermal flux data from FE simulations to CFD’s heat source domain, followed by incorporating CFD-derived convective heat transfer coefficients back into FE computations. …”
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