Exploring the process—structure–property relationship of nylon aramid 3D printed composites and parameter optimization using supervised machine learning techniques by Mohammed Raffic Noor Mohamed, Ganesh Babu Karuppiah, Dharani Kumar Selvan, Rajasekaran Saminathan, Shubham Sharma, Shashi Prakash Dwivedi, Sandeep Kumar, Mohamed Abbas, Dražan Kozak, Jasmina Lozanovic

“…The main goals of this research are to identify the significant input parameters using supervised machine learning methods and investigate the relationship between the process, structure, and properties of components created using fused deposition modeling utilizing nylon aramid composite filaments. …”
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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

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Analysis of graphene coatings on various metallic/oxide crystal/composite material substrates using machine learning for enhanced solar thermal energy conversion by Khaled Aliqab, Dhruvik Agravat, Shobhit K. Patel, Ammar Armghan, Naim Ben Ali, Meshari Alsharari

Subjects: “…Machine learning…”
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Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints by Jun Fukae, Yoshiharu Amasaki, Yuichiro Fujieda, Yuki Sone, Ken Katagishi, Tatsunori Horie, Tamotsu Kamishima, Tatsuya Atsumi

“…Objective To study the classification performance of a pre-trained convolutional neural network (CNN) with transfer learning by artificial joint ultrasonography images in rheumatoid arthritis (RA). …”
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Author Correction: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea by Hyunji Sang, Jaeyu Park, Soeun Kim, Myeongcheol Lee, Hojae Lee, Sun-Ho Lee, Dong Keon Yon, Sang Youl Rhee

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Optimisation of Spaces Designated for Learning in Public Secondary Schools with the View of Behavioural Aspects, on the Example of the Academic Secondary School of the Silesian University of Technology in Gliwice by BIELAK-ZASADZKA Maria, KUCHARCZYK-BRUS Beata, SKÓRA Piotr, SZKARŁAT Julia

“…The subject of this paper is an attempt to answer the question – how to properly shape learning spaces in public secondary schools from a behavioural perspective? …”
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Drying kinetic for moisture content prediction of peels Tahiti lemon (Citrus latifolia): Approach by machine learning and optimization - genetic algorithms and nonlinear programming by Maressa O. Camilo, Romero F. Carvalho, Ariany B.S. Costa, Esly F.C. Junior, Andréa O.S. Costa, Robson C. Sousa

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School-Based 4-H Programming Series: Positive Youth Development (PYD) and Social Emotional Learning (SEL)—How They Complement Each Other by Vanessa Spero

“… Positive Youth Development (PYD) promotes building life skills, leadership, and relationships, and Social Emotional Learning (SEL) promotes knowledge, responsibility, and caring. …”
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Use of an observer tool to enhance learning of anaesthesia resident’s non-technical skills during high-fidelity simulation: a randomised controlled trial by Caroline Havard, Viridiana Jouffroy, Agnès Le Gouez, Marie Bruyère, Samy Figueiredo, Philippe Roulleau, Dan Benhamou, Aurore Margat, Antonia Blanié

“…Abstract Background The use of an observer tool (OT) has been shown to improve learning of technical skills through observation in simulation. …”
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Evaluating the implementation of person-centred care and simulation-based learning in a midwifery education programme in the Democratic Republic of Congo: a study protocol by Frida Temple, Ewa Carlsson Lalloo, Marie Berg, Urban Berg, Alumeti Munyali Désiré, Olivier Nyakio, Aline Mulunda, Malin Bogren

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Learning Analytics and Educational Data Mining in Augmented Reality, Virtual Reality, and the Metaverse: A Systematic Literature Review, Content Analysis, and Bibliometric Analysis by Georgios Lampropoulos, Georgios Evangelidis

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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

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Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review. by Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds

“…Machine learning (ML) and deep learning (DL) models are being increasingly employed for medical imagery analyses, with both approaches used to enhance the accuracy of classification/prediction in the diagnoses of various cancers, tumors and bloodborne diseases. …”
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Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study by Taehwan Kim, Jung-Yeon Choi, Myung Jin Ko, Kwang-il Kim

“…The SpeechAI model outperformed the model using only demographics significantly in AUC (t4Pt4P ConclusionsOur findings demonstrate that vocal biomarkers derived from deep learning–based acoustic features can be effectively used to predict frailty status in community-dwelling older adults. …”
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The Effectiveness of Cognitive Rehabilitation on Improving Academic Eemotions and Academic engagement of Students with Special Learning Disabilities in Girls' Secondary Period Schools in Rasht city by seyedeh zari noori, Seyedeh Maryam Mousavi

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MINAT DAN HASIL BELAJAR FISIKA SISWA MELALU MODEL PEMBELAJARAN PROBLEM BASED LEARNING DENGAN PETA KONSEP PADA KONSEP SUHU by Niya Agustina, Connie Connie, Irwan Koto

“…Keywords: Problem Based Learning Learning Models, Concept Maps, Learning Interests, Learning Outcomes, Temperature Concept …”
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“You Learn So Much from Reading for Pleasure”: Exploring a Reading for Pleasure Pedagogy Impact on Pre-Service Teachers’ Literate Identities by Katherine Price, Alyson Simpson

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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

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A Data-Driven Approach to Improve Cocoa Crop Establishment in Colombia: Insights and Agricultural Practice Recommendations from an Ensemble Machine Learning Model by Leonardo Talero-Sarmiento, Sebastian Roa-Prada, Luz Caicedo-Chacon, Oscar Gavanzo-Cardenas

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Hippocampal Functional Radiomic Features for Identification of the Cognitively Impaired Patients from Low-Back-Related Pain: A Prospective Machine Learning Study by Yang Z, Liang X, Ji Y, Zeng W, Wang Y, Zhang Y, Zhou F

“…After feature selection, machine learning models were trained. Finally, we further analyzed the relationship between the hippocampal functional radiomic features and clinical measures, to explore the clinical significance of these features.Results: The combined radiomic features model logistic regression algorithm superior performance in distinguishing cognitively impaired patients from LBLP (AUC = 0.970, accuracy = 92.3%, sensitivity = 92.3%, specificity = 92.3%) compared to the other models. …”
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