Universal patterns of intra-urban morphology: Defining a global typology of the urban fabric using unsupervised clustering by Henri Debray, Matthias Gassilloud, Richard Lemoine-Rodríguez, Michael Wurm, Xiaoxiang Zhu, Hannes Taubenböck

“…We rely on a Local Climate Zone land cover classification to represent the multidimensional variabilities of intra-urban morphology. Adapting a deep learning based unsupervised clustering approach, we find a typology of 138 intra-urban patterns. …”
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Early diagnosis of lung cancer using a sensor gas analysis complex: case report by E. O. Rodionov, D. E. Kulbakin, D. V. Podolko, E. V. Obkhodskaya, A. V. Obkhodskiy, S. V. Miller, A. A. Mokh, V. I. Sachkov, A. S. Popov, V. I. Chernov

“…Conclusion. Machine learning algorithms are actively used to diagnose socially significant diseases. the platforms being developed based on arrays of chemical sensors with data analysis using a neural network are promising candidates for implementation in screening activities.…”
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Modern art visual characteristic transformation to a full-scale model by first-year architecture students by Marchelia Gupita Sari, Ardi Makki Pantow Gunawan

“…Therefore, quasi-qualitative research method is conducted. Semi-structured interview and visual observation become the data collection technique. …”
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Quality by Design and In Silico Approach in SNEDDS Development: A Comprehensive Formulation Framework by Sani Ega Priani, Taufik Muhammad Fakih, Gofarana Wilar, Anis Yohana Chaerunisaa, Iyan Sopyan

“…<b>Methods</b>: The review is based on publications from 2020 to 2025, sourced from reputable scientific databases (Pubmed, Science direct, Taylor and francis, and Scopus). …”
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How Clinician-Scientists Access and Mobilise Social Capital and Thus Contribute to the Professional Development of Their Colleagues in Their Networks by Esther de Groot, Jasperina Brouwer, Yvette Baggen, Nienke Moolenaar, Manon Kluijtmans, Roger Damoiseaux

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The Biological Properties of Bacterial Toxins by M. V. Supotnitskiy

“…To identify genetically modified toxins, poorly studied analogues and isoforms of natural toxins, special programs based on machine learning can be used.…”
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Klasifikasi Kualitas Buah Apel Dengan Algoritma K-Nearest Neighbor (K-NN) Menggunakan Bahasa Pemrograman Python by Puji Astuti

“…Then the k-NN method is applied to this study to be classified based on several existing criteria, so as to obtain the results of performance evaluation K-NN with the value of accuracy that has been calculated with python programming. …”
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Kirjeldamisest lavastamiseni. Loovuurimuslik vaade / From Describing to Staging: A Practice-as-Research Look by Karl Saks, Hedi-Liis Toome, Anu Sööt, Ele Viskus

“…The research shows that using ekphrasis and thin and thick description—methods used in other fields—is a fruitful practice and the description based exercises are later useful in their professional career as directors. …”
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Gut microbiota, serum metabolites, and lipids related to blood glucose control and type 1 diabetes by Zhaohe Gu, Lanxin Pan, Huiling Tan, Xulin Wang, Jing Wang, Xueying Zheng, Jianping Weng, Sihui Luo, Tong Yue, Yu Ding

“…The patients were divided into two groups based on their hemoglobin A1c (HbA1c) levels. 16S rRNA sequencing, and metabolomics methods were applied to analyze changes in composition and function of gut microbiota, metabolites, and lipids. …”
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CoMSeC: A Comparative Analysis of Various Service Classification Techniques by Malabika Das, Ansh Sarkar, Sujata Swain

“…The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has significantly impacted Web Service Classification, a critical task for service discovery, composition, and selection in various applications. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…Innovations in machine learning, particularly those involving Bidirectional Encoder Representations From Transformers (BERT)–based deep learning and large language models, have significantly advanced NER capabilities. …”
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Feature selection in single-cell RNA sequencing data: a comprehensive evaluation by Petros Paplomatas, Konstantinos Lazaros, Georgios N. Dimitrakopoulos, Aristidis Vrahatis

“…We developed the GenesRanking package, which offers 20 techniques for dimensionality reduction, including filter-based and embedding machine learning–based methods. …”
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Facilitators and barriers to online group work in higher education within health sciences – a scoping review by Live Edvardsen Tonheim, Marianne Molin, Asgeir Brevik, Malene Wøhlk Gundersen, Lisa Garnweidner-Holme

“…The review revealed smaller group size, consistency in group composition and joint responsibility to be facilitators. …”
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Integration of Electronic Music Looping in Orchestra as an Innovative Teaching Resource by Ayuthia Mayang Sari, Robby Ferdian, Hengki Armez Hidayat, Irdhan Epria Darma Putra, Zyed Achour, Flor Amara Avila

“…Furthermore, the integration of partiture-based learning with digital tools improved students' technical skills, rhythmic accuracy, and ensemble cohesion. …”
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Landscape Strategies in Architecture by Daniel Jauslin

“…The specific analytical method used for this case is an experiment that uses the ruins of unbuilt architecture as the base for a landscape architectural design. …”
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Single-walled carbon nanotubes sensors: Preparation and bio-application advances by Xiaotong Chen, Difan Wang, Wenshuo Ding, Hengchang Zang, Lian Li

“…Single-walled carbon nanotube (SWCNTs)-based optical biosensors have been applied in this field owing to their high sensitivity, good fluorescence stability, and tissue transparency. …”
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Exploring Postharvest Metabolic Shifts and NOX2 Inhibitory Potential in Strawberry Fruits and Leaves via Untargeted LC-MS/MS and Chemometric Analysis by Georgia Ladika, Paris Christodoulou, Eftichia Kritsi, Thalia Tsiaka, Georgios Sotiroudis, Dionisis Cavouras, Vassilia J. Sinanoglou

“…Additionally, a machine learning-based predictive model was applied to evaluate the NOX2 inhibitory potential of 24 structurally characterized metabolites. …”
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Level Characteristics of Foreign Language Communicative Competence Development of Students for Technical Specialties by Anastasiia Ptushka

“…The tasks are to find out the essence of the concept «level of foreign language communicative competence»; to analyze classifications of foreign language proficiency levels; characterize the criteria for the levels of foreign language communicative competence development of students for technical specialties, based on the analysis. Methodology. Research methods are the analysis and summarization of relevant scientific materials for the purpose of collecting and presenting results, as well as coming to the conclusions. …”
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Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients by Shengpeng Li, Zhengguo Xu, Hua Diao, An Zhou, Dianji Tu, Sumin Wang, Yunxuan Feng, Xiaojie Feng, Yi Lai, Shiming Yang, Bo Tang

“…Accurate preoperative prediction of the risk of developing hepatic encephalopathy is critical for optimizing the rational clinical application of TIPS. Methods In this study, stool samples from 67 patients were collected preoperatively and 1 month postoperatively and metagenomic sequencing was performed to assess the composition of the gut microbiota. …”
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Recent technological developments allow for passive acoustic monitoring of Orthoptera (grasshoppers and crickets) in research and conservation across a broad range of temporal and... by David Bennett, Henning Nissen, Marc Andre Maschke, Heinrich Reck, Tim Diekötter

“…This also opens possibilities to apply PAM to species groups that traditionally have been studied via expert-based, labour-intensive monitoring, such as transect surveys.Utilizing recordings of Orthoptera from online databases, specialists and from our own recordings, we built a machine-learning classifier to automatically identify 17 Orthoptera species, OrthopterOSS. …”
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