The Effect of Advanced Platelet-Rich Fibrin Plus (A-PRF+) on Graft Stability in Dental Implants and Alveolar Ridge Augmentation Procedures: A New Low-Speed Standardized Centrifugat... by Benjamin Walch, Andreas Kolk, Dominik Scheibl, Maria Guarda, Sarah Christine Maier, Lena Denk

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The Use of Autogenous Teeth Tissues Grafts for Alveolar Bone Reconstruction: a Systematic Review by Gabriele Peceliunaite, Vykintas Pliavga, Gintaras Juodzbalys

“…No statistically significant results were found in the five studies. …”
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Treatment effect estimation with observational network data using machine learning by Emmenegger Corinne, Spohn Meta-Lina, Elmer Timon, Bühlmann Peter

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On the Bayesian generalized extreme value mixture autoregressive model with adjusted SNR in non-standard actuarial data by Chrisandi R. Lande, Nur Iriawan, Dedy Dwi Prastyo

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Ar-Enhanced Reading Instruction: Impact on Indonesian EFL Learners' Comprehension and Attitudes by Mustakim Sagita, Issy Yuliasri, Abdurrahman Faridi, Hendi Pratama

“…This study investigates the effects of Augmented Reality (AR) books on the reading comprehension and attitudes of Indonesian EFL learners. …”
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Statistical analysis plan for the ARtificially Intelligent image fusion system versus standard treatment to guide endovascular Aortic aneurysm repair (ARIA): a multi-centre randomi... by Hatem A. Wafa, James Budge, Tom Carrell, Medeah Yaqub, Matt Waltham, Izabela Pilecka, Joanna Kelly, Caroline Murphy, Stephen Palmer, Rachel E. Clough, Yanzhong Wang

“…The statistical analysis plan outlines methods for handling missing data, covariates for adjusted analyses, and planned sensitivity analyses to ensure robust evaluation of treatment effects. …”
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Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction. by Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu, Olivier Gevaert

“…Accurately labeling large datasets is important for biomedical machine learning yet challenging while modern data augmentation methods may generate noise in the training data, which may deteriorate machine learning model performance. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

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Machine learning detection of Gaussian steering in continuous-variable systems under data imbalance by Jie Guo, Taotao Yan, Jinchuan Hou, Xiaofei Qi, Kan He

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Win Ratio in Biomedical Science: A Bibliometric Analysis by Zhenyu Li, MSc, Aliya Izumi, HBSc, Dominique Vervoort, MD, MPH, CPH, MBA, Anika Ranadive, HBSc, Subodh Verma, MD, Stephen E. Fremes, MD, MSc

“…Data extraction included bibliometric information and content details. …”
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Processing of Polymers Stress Relaxation Curves Using Machine Learning Methods by Anton S. Chepurnenko, Tatiana N. Kondratieva, Ebrahim Al-Wali

“…When developing the models, CatBoost artificial intelligence methods were used, regularization methods (Weight Decay, Decoupled Weight Decay Regularization, Augmentation) were used to improve the accuracy of the model, and the Z-Score method was used to normalize the data. …”
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Boosting EEG and ECG Classification with Synthetic Biophysical Data Generated via Generative Adversarial Networks by Archana Venugopal, Diego Resende Faria

“…Techniques such as discrete wavelet transform, downsampling, and upsampling were employed to enhance data quality. This method shows significant potential in addressing biophysical data scarcity and advancing applications in assistive technologies, human-robot interaction, and mental health monitoring, among other medical applications.…”
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Adoption of Data-Driven Automation Techniques to Create Smart Key Performance Indicators for Business Optimization by Michael Sishi, Arnesh Telukdarie

“…To address this issue, this paper proposes a method that combines statistics, machine learning (ML), and artificial intelligence (AI) to augment traditional KPIs with the flexibility of data-driven automation (DDA) techniques. …”
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Tratamento da ptose mamária e hipomastia utilizando técnica de mamoplastia com pedículo súpero-medial e implante mamário Treatment of breast ptosis and hypomastia using the superom... by Alexandre Wada, Lincoln Saito Millan, Samuel Terra Gallafrio, Rolf Gemperli, Marcus Castro Ferreira

“…METHODS: The incidence of complications and surgical revision was analyzed in 27 patients who underwent one-stage mastopexy combined with breast augmentation using the superomedial pedicle technique, between 2005 and 2010. …”
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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

“…Recent advances in large language models (LLMs) provide an opportunity to generate synthetic data with reduced reliance on domain expertise, computational resources, and pre-training.ObjectiveThis study aims to assess the feasibility of generating realistic tabular clinical data with OpenAI’s GPT-4o using zero-shot prompting, and evaluate the fidelity of LLM-generated data by comparing its statistical properties to the Vital Signs DataBase (VitalDB), a real-world open-source perioperative dataset.MethodsIn Phase 1, GPT-4o was prompted to generate a dataset with qualitative descriptions of 13 clinical parameters. …”
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A holistic framework for intradialytic hypotension prediction using generative adversarial networks-based data balancing by Hsuan-Ming Lin, JrJung Lyu

“…Traditional oversampling methods often struggle with complex clinical data. …”
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Analysis to Predict the Number of New Students At UNU Pasuruan using Arima Method by Fachri Ayudi Fitrony, Laksmita Dewi Supraba, Tessa Rantung, I Made Artha Agastya, Kusrini Kusrini

“…This study aims to evaluate the historical pattern of new student admissions at UNU Pasuruan and predict the number of new students in the coming years using the ARIMA (Auto Regressive Integrated Moving Average) method. The data used is historical data on new student admissions in the last five years, which is analyzed to identify trends, seasonality, and fluctuation patterns. …”
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Avaliação da qualidade de cicatrizes em mamoplastia de aumento por via submamária e transareolomamilar: um estudo longitudinal prospectivo Scar quality evaluation following transar... by Denis Souto Valente, Lauro Aita Carvalho, Marcelo Tonding Ferreira

“…METHODS: A prospective study investigated patients who underwent aesthetic breast augmentation. …”
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Motor neuron disease: The impact of decreased speech intelligibility on marital communication by K. Joubert, J. Bornman

“…Fourteen couples participated in this non-experimental correlational research study. Data were collected over a 12-month period through the administration of objective and subjective measures. …”
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Targeted lipidomics dataset of central nervous system and plasma from mice with experimental autoimmune encephalomyelitisMendeley Data by Jörn Lötsch, Irmgard Tegder, Natasja de Bruin, Dominique Thomas, Gerd Geisslinger

“…Standardized variable naming and detailed metadata facilitate cross-referencing and integration with other datasets.This resource enables comparative analyses of lipid profiles across tissues and treatment groups. It supports statistical and machine learning applications and enables the evaluation of data augmentation strategies, including statistical and generative AI approaches. …”
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