Correction: You don’t know what you’ve got till it’s gone: the changing landscape of UK learned society publishing by Rob Johnson, Elle Malcolmson

“…This article details a correction to: Johnson R, Malcolmson E, “You don’t know what you’ve got till it’s gone: the changing landscape of UK learned society publishing,” Insights, 2024, 37: 16, 1–12; DOI: https://doi.org/10.1629/uksg.664…”
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Klasifikasi Aktivitas Manusia Menggunakan Algoritme Computed Input Weight Extreme Learning Machine dengan Reduksi Dimensi Principal Component Analysis by M. Sofyan Irwanto, Fitra A. Bachtiar, Novanto Yudistira

“…One of the method that can be used to reduce the feature dimensions of data is Principal Component Analysis (PCA), and one of the classification methods that can be used is Computed Input Weight Extreme Learning Machine (CIW-ELM). Therefore, this study will use both methods to classify simple activities such as walking, walking upstairs, walking downstairs, sitting, standing, and laying. …”
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Retraction Note: A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6 by Lizhe Wang, Yu Wang, Yueyang Li, Li Zhou, Sihan Liu, Yongyi Cao, Yuzhi Li, Shenting Liu, Jiahui Du, Jin Wang, Ting Zhu

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Memory-like states created by the first ethanol experience are encoded into the Drosophila mushroom body learning and memory circuitry in an ethanol-specific manner. by Caleb Larnerd, Maria Nolazco, Ashley Valdez, Vanessa Sanchez, Fred W Wolf

“…It is unknown if these ethanol memory-like states are also encoded by the canonical learning and memory circuitry that is centered on the mushroom bodies. …”
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Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

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Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample by Mahdieh Arian, Talat Khadivzadeh, Mahla Shafeei, Sedigheh Abdollahpour

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Pengembangan LKS Berbasis Inkuiri Terbimbing Berbantuan E-Learning Untuk Meningkatkan Pemahaman Konsep Pada Siswa kelas X SMA by Wimpi Calesta, Patricia H M Lubis, Sugiarti Sugiarti

“…Kata kunci : Pengembangan dan penelitian, LKS, inkuiri terbimbing, e-learning, pemahaman konsep   ABSTRACT   This research was aimed to produce worksheets that was valid, practical and have potential effects based on the guided inquiry learning model and assisted e-learning, namely the blogspot application. …”
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Deciphering the Immune Subtypes and Signature Genes: A Novel Approach Towards Diagnosing and Prognosticating Severe Asthma Through Interpretable Machine Learning by Yue Hu, Yating Lin, Bo Peng, Chunyan Xiang, Wei Tang

“…We employ single-sample gene set enrichment analysis (ssGSEA) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms to identify differentially expressed immune cells and utilize machine learning techniques, including Extreme Gradient Boosting (XGBoost) and random forest, to predict severe asthma outcomes and identify key genes associated with immune cells. …”
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Novel Optimization Algorithms Usage to Model the Compressive Strength of Ultra-High-Performance Concrete in Machine Learning Technique: Support Vector Regression by Tianhua Zhou, Dorota Mozyrska

“…This study suggested a machine learning method for predicting the CS of UHPC including support vector regression (SVR). …”
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The Effects of Active Teaching and Learning Methods on The Pupils' Academic Performance in Four Selected Primary Schools in Bugamba Sub-County in Rwampara District. by Ampurire, Motion

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Pengaruh PjBL Terintegrasi Kearifan Lokal Tri Hita Karana untuk Meningkatkan Keterampilan Berkolaborasi Siswa Sekolah Dasar by I W. Heru Sanjaya, I Wayan Lasmawan, I Wayan Kertih

Subjects: “…project-based learning…”
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Strengthening teamwork and respect (STAR) in maternity units: developing a health system intervention in South Africa by Tanya Doherty, Ruwayda Petrus, Sandra Land, Christiane Horwood, Veronique Filippi, Lyn Haskins, Cleo Phewa, Sphindile Mapumulo, Silondile Luthuli, Vaughn M. John

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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

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Exploring the application of knowledge transfer to sports video data by Shahrokh Heidari, Gibran Zazueta, Riki Mitchell, David Arturo Soriano Valdez, Mitchell Rogers, Mitchell Rogers, Jiaxuan Wang, Ruigeng Wang, Marcel Noronha, Alfonso Gastelum Strozzi, Mengjie Zhang, Patrice Jean Delmas, Patrice Jean Delmas

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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

Subjects: “…Imbalanced Learning…”
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Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

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Neural network potentials for exploring condensed phase chemical reactivity by Gomez, Axel, de la Puente, Miguel, David, Rolf, Laage, Damien

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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

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