A comparative analysis of machine learning algorithms with tree-structured parzen estimator for liver disease prediction by Rakibul Islam, Azrin Sultana, MD. Nuruzzaman Tuhin

“…This study proposes a system for predicting the LD by combining the techniques of Machine Learning (ML) algorithms that include the Decision Tree, Random Forest, Extra Tree Classifier (ETC), LightGBM, and Adaboost, with the Tree-Structured Parzen Estimator (TPE) method for hyperparameter tuning. …”
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The community of marine alveolate parasites in the Atlantic inflow to the Arctic Ocean is structured by season, depth, and water mass by Elianne Egge, Daniel Vaulot, Aud Larsen, Bente Edvardsen

“…The community was structured by season, depth, and water mass. In the epipelagic zone, the taxonomic composition varied strongly by season; however, there was also a difference between Arctic and Atlantic water masses in winter. …”
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A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks by Mattia Piccinini, Matteo Zumerle, Johannes Betz, Gastone Pietro Rosati Papini

“…This paper introduces a novel road friction-aware ABS, leveraging model-structured neural networks (MS-NNs) to learn the vehicle longitudinal dynamics in different road conditions. …”
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Improving learning and confidence through small group, structured otoscopy teaching: a prospective interventional study by Peng You, Saad Chahine, Murad Husein

“…In this study, we aimed to examine the effect of a small-group, structured teaching session on medical students’ confidence with and learning of otoscopic examination. …”
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University-based physical education as a structured temporal and spatial opportunity for shaping health-oriented lifestyles by Lu Zhang, Tao Zhong, Kui Dong

“…Logistic regression analyses confirmed that PE attendance was a protective factor against these unhealthy behaviors, with significant gender-based differences observed in lifestyle patterns.ConclusionThis study highlights the importance of PE in promoting healthier lifestyles among university students and underscores the need for continued access to structured PE programs throughout the undergraduate years.…”
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Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification by Tao Liu, Jiahao Liu, Dong Li, Shan Tan

“…Abstract The objective of optical super-resolution imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination microscopy (SIM) is acknowledged as the optimal modality for live-cell super-resolution imaging. …”
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Impact of a Structured Social Skills Training Program on Adolescents and Young Adults with Level 1 Autism by Leonardo Zoccante, Sara Sabaini, Erika Rigotti, Sophia Marlene Bonatti, Camilla Lintas, Marco Zaffanello

“…This study aims to evaluate the effectiveness of a structured social skills training programme for adolescents and young adults with level 1 ASD. …”
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Is AI the future of evaluation in medical education?? AI vs. human evaluation in objective structured clinical examination by Murat Tekin, Mustafa Onur Yurdal, Çetin Toraman, Güneş Korkmaz, İbrahim Uysal

“…Abstract Background Objective Structured Clinical Examinations (OSCEs) are widely used in medical education to assess students’ clinical and professional skills. …”
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Diabetes care in the pandemic era in the Midwestern USA: a semi-structured interview study of the patient perspective by Shakoora A Sabree, Kimberly Dukes, Carolina Gonzalez Bravo, Morolake J Adeagbo, Sarai Edwards, Kasey Wainwright, Sienna E Schaeffer, Aneli Villa, Aloha D Wilks, Martha L Carvour

“…Objectives To understand patients’ experiences with diabetes care during the COVID-19 pandemic, with an emphasis on rural, medically underserved, and/or minoritised racial and ethnic groups in the Midwestern USA.Design Community-engaged, semi-structured interviews were conducted by medical student researchers trained in qualitative interviewing. …”
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Predicting the Flexural Modulus of Variable Pitch Angle, Porous Bouligand Structured 3D Printed Polymer by Praveenkumar S. Patil, Edward D. McCarthy, Parvez Alam

“…Our model is expressed as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>E</mi><mi>f</mi></msub><mo>=</mo><msub><mi>E</mi><mrow><mi>p</mi><mi>o</mi><mi>r</mi><mi>o</mi></mrow></msub><mrow><mo>(</mo><mi>a</mi><msubsup><mi>θ</mi><mi>f</mi><mn>3</mn></msubsup><mo>+</mo><mi>b</mi><msubsup><mi>θ</mi><mi>f</mi><mn>2</mn></msubsup><mo>+</mo><mi>c</mi><msub><mi>θ</mi><mi>f</mi></msub><mo>+</mo><mi>d</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>, and we derive this by applying non-linear regression to our experimental data. This model predicts the flexural modulus, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>E</mi><mi>f</mi></msub></semantics></math></inline-formula>, of porous Bouligand structured polymer as a function of both porosity and pitch angle. …”
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Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform by Florent Le Borgne, Camille Garnier, Camille Morisseau, Yanis Navarrete, Yanina Echeverria, Juan Mir, Jaume Calafell, Tanguy Perennec, Olivier Kerdraon, Jean-Sébastien Frenel, Judith Raimbourg, Mario Campone, Maria Fe Paz, François Bocquet

“…Results C-LAB ® achieved over 80% agreement with human extractions (precision, recall, and F1-score) in structuring biomarker data from complex, unstructured pathology reports, despite dataset variability and optical character recognition errors. …”
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Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease by Shelli R. Kesler, Paul Acton, Vikram Rao, William J. Ray

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Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands by Y. Shi, J. Wang, W. D. Kissling

“…<p>Recent years have seen a rapid surge in the use of light detection and ranging (lidar) technology for characterizing the structure of ecosystems. Even though repeated airborne laser scanning (ALS) surveys are becoming increasingly available across several European countries, so far, only a few studies have derived data products of ecosystem structure at a national scale, possibly due to a lack of free and open-source tools and the computational challenges involved in handling the large volumes of data. …”
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Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. by Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network

“…The Bayesian rate consistency model provides a model-based, non-parametric, computationally tractable approach for estimating the fine structure and longitudinal trends in social contacts and is applicable to contemporary survey data with coarsely reported age of contacts as long as the exact age of survey participants is reported.…”
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Seasonal genetic variation and genetic structure of Spodoptera exigua in Liaoning Province, Northeast China: insights from 11 years of microsatellite data by Ming-Li Yu, Xian-Zhi Xiu, Jin-Yang Wang, Xin-Yi Cao, Fa-Liang Qin, Xing-Ya Wang, Li-Hong Zhou

“…To control this pest effectively, it is crucial to investigate its seasonal genetic variation and population genetic structure in northern China. Methods In this study, we used eight nuclear microsatellite loci to investigate the seasonal genetic variation and genetic structure of BAW in Shenyang, Liaoning Province, Northeast China, from 2012–2022, collected from a single location on Welsh onion. …”
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The glucose-lowering therapy structure in special groups of type 2 diabetes mellitus patients based on data from the Moscow region register by Inna V. Misnikova, Yulia A. Kovaleva, Mikhail А. Isakov, Alexander V. Dreval

“…BACKGROUND: Data of real clinical practice in diabetes mellitus (DM) register allow to evaluate features and trends in structure of glucose-lowering therapy (GLT). …”
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Data Assimilation Informed Model Structure Improvement (DAISI) for Robust Prediction Under Climate Change: Application to 201 Catchments in Southeastern Australia by Julien Lerat, Francis Chiew, David Robertson, Vazken Andréassian, Hongxing Zheng

Subjects: “…model structure…”
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What determines export structure in the EU countries? The use of gravity model in international trade based on the panel data for the years 1995-2015 by Marek Maciejewski, Krzysztof Wach

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A dynamic key management and secure data transfer based on m-tree structure with multi-level security framework for Internet of vehicles by Hua Yi Lin, Meng-Yen Hsieh

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PATIENTS WITH ATRIAL FIBRILLATION IN MULTIDISCIPLINARY HOSPITAL: STRUCTURE OF HOSPITALIZATION, CONCOMITANT CARDIOVASCULAR DISEASES AND DRUG TREATMENT (DATA OF RECVASA AF-TULA REGISTRY) by M. N. Valiakhmetov, T. A. Gomova, M. M. Loukianov, S. Yu. Martsevich, K. N. Nadejkina, M. N. Artemova, D. N. Jilin, E. E. Fedotova, A. V. Zagrebelnyy, E. V. Kudryashov, S. A. Boytsov

“…All patients with a diagnosis of AF in the patient's chart (n=1225) were included into the RECVAZA AF-Tula registry; that is 4.2% of 29018 patients hospitalized to the Tula Regional Clinical Hospital in 2013. The structure of the associated cardiovascular diseases, as well as drug therapy, was evaluated on the basis of data in the medical documentation.Results. …”
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