Microecological aspects of relationship between skin microbiota and psoriasis by Arsenyeva A.A., Lyamin A.V., Migacheva N.B., Orlov E.V., Alekseev D.V.

“…In particular, various patterns of deviations in the composition of microbiological communities are considered, such as an increase in the ratio of individual pathogens (Staphylococcus aureus and Streptococcus pyogenes) and a decrease in the number of microorganisms that limit the growth of pathogenic flora (Staphylococcus epidermidis and Cutibacterium acnes). …”
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Detection and Monitoring of Floating Plastic Debris on Inland Waters From Sentinel-2 Time Series by Daniele Cerra, Stefan Auer, Adrian Baissero, Felix Bachofer

“…First, the detection of plastic candidates is conducted with a rule-based approach relying on variations in signal intensity, temporal patterns, spectral features, and information fusion. …”
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Automated building typology clustering and identification using a variational autoencoder on digital land cadastres by Jaime de-Miguel-Rodriguez, M.V. Requena-Garcia-Cruz, E. Romero-Sánchez, A. Morales-Esteban

“…Unlike traditional shape clustering approaches, that depend on predefined rules or manual labelling, the method employs unsupervised learning to identify building typologies, based solely on geometric features, derived from roof-print shapes. Leveraging a large-scale dataset of over 100,000 buildings from the Seville, Spain cadastre, the VAE has been trained with augmented data to generate a latent space that captures dominant morphological patterns. …”
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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…This semantic information reveals underlying features and patterns, offering valuable scientific insights. …”
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Perineural invasion in pancreatic cancer: proteomic analysis and in vitro modelling by Wasfi Alrawashdeh, Richard Jones, Laurent Dumartin, Tomasz P. Radon, Pedro R. Cutillas, Roger M. Feakins, Branko Dmitrovic, Ihsan Ekin Demir, Guralp O. Ceyhan, Tatjana Crnogorac‐Jurcevic

“…Perineural invasion (PNI) is a common and characteristic feature of pancreatic ductal adenocarcinoma (PDAC) that is associated with poor prognosis, tumor recurrence, and generation of pain. …”
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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…Soil thickness is a basic feature of the earth’s land surface. Accurately representing the spatial distribution of soil thickness is important for various models of earth surface processes. …”
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An Automated Compliance Framework for Critical Infrastructure Security Through Artificial Intelligence by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Rafi Us Shan

“…Attributes were extracted using the Term Frequency-Inverse Document Frequency (TF-IDF) technique and refined through Recursive Feature Elimination (RFE). A content-based filtering (CBF) recommender system, aligned with organizational maturity levels, was developed and enhanced with a feedback loop for user insights. …”
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Mendelian Randomization Analysis Reveal the Role of Circulating Inflammatory Proteins in Mediating Functional Brain Networks and Peripheral Neuropathic Pain Effects by Wen‐Hui Liu, Hui‐Min Hu, Chen Li, Qing Shi, Yi‐Fan Li, Peng Mao, Bi‐Fa Fan

“…Methods: The resting‐state functional magnetic imaging phenotype is defined as a stable feature that quantifies the pattern of functional connectivity (i.e., synchronized activity) between different regions of the brain in the resting state of an individual. …”
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Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

“…We thus developed a Task-Relevant Autoencoder via Classifier Enhancement (TRACE) designed to identify behaviorally-relevant target neural patterns. …”
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Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models by Luis H. T. Bandoria, Walquiria N. Silva, Madson C. De Almeida

“…Results based on statistical and temporal metrics indicate that Max-Abs normalization consistently yields more accurate and stable synthetic profiles across all models and datasets, while Robust and Quantile methods often degrade essential distributional features. These findings highlight the critical role of normalization in developing effective synthetic data generation pipelines for power system applications.…”
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A microhistological key for the identification of plant fragments in herbivore droppings from Mongolia’s steppe and semi-desert. by Bayarmaa Chuluunbat, Gantumur Khuderchuluun, Munkhtulga Dariganga, Nyambayar Batbayar, Badamdorj Bayartogtokh

“…This study examined 93 plant species, focusing on epidermal cell types, stomatal patterns, trichomes, and specialized cells. Key anatomical features, such as elongated, lobed, and angular epidermal cells, along with various stomatal configurations, were essential for plant identification, with anomocytic stomata being particularly prevalent. …”
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Risk factors of mild behavioral impairment: a systematic review by Song Lin Tang, Song Lin Tang, Ponnusamy Subramaniam, Ching Sin Siau, Agnes Shu Sze Chong, Fang Liu

“…Forty-one human studies meeting predefined inclusion criteria were selected through dual independent screening.ResultsFive key domains emerged: (1) Genetic susceptibility (APOE ε4 allele showing strongest association), (2) Motor system pathology (particularly Parkinsonian features), (3) Multisensory deficits (auditory impairment demonstrating bidirectional relationships), (4) Metabolic dysregulation (diabetes mellitus and frailty phenotypes), and (5) Neuroanatomical correlates (frontolimbic atrophy patterns on MRI). …”
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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…Regular appointments and PHCCs showed different attendance patterns than hospitals, while walk-in appointments did. …”
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Holographic tomographic volumetric additive manufacturing by Maria Isabel Álvarez-Castaño, Andreas Gejl Madsen, Jorge Madrid-Wolff, Viola Sgarminato, Antoine Boniface, Jesper Glückstad, Christophe Moser

“…Abstract Several 3D light-based printing technologies have been developed that rely on the photopolymerization of liquid resins. …”
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Comparison of the Environment of EU Countries for Sharing Economy State by Modern Multiple Criteria Methods by Grybaitė, V., Stankevičienė, J., Lapinskienė, G., Podvezko, A.

“…The authors apply multi-criterion decision-making methods for research purposes, such as EDAS and PROMETHEE II, and recently developed CILOS and IDOCRIW for criteria weight calculation. …”
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Metro Station Passenger Volume Prediction Algorithm Based on Improved LSTNet Model by XU Ling, GUAN Jianbo, XU Xiwei, BAN Yong

“…[Objective] To effectively address the pressure of inbound/outbound passenger volume on metro lines during peak hours, it is necessary to develop an accurate passenger volume prediction model to understand the spatiotemporal distribution patterns of metro station inbound/outbound volumes and enhance the scientific basis for operational and scheduling decisions of metro lines. …”
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Refining Parkinson’s syndrome symptom forecasting using incorporated ocular imaging and the SymptoSense model by V. Jayasudha, N. Deepa, Devi Thiyagarajan

“…Additionally ocular imaging features of microvascular changes of retina and abnormalities in eye movements patterns are investigated to enhance prediction accuracy. …”
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Investigating Kalmykia’s Governance Arrangements, Mid-to-Late Nineteenth Century: Documents of Horde [Affairs] Department at Astrakhan Chamber of State Property (1848–1867) as a Hi... by Larisa B. Mandzhikova

“…The documents that resulted from the latter’s activities are related to official record keeping and their formatting patterns meet the requirements of that era. The archival documents included in Collection И-6 are a valuable source for further historical insights into how local public institutions in Russia would develop throughout the prerevolutionary period, and how Kalmykia’s administrative structures would evolutionize accordingly. …”
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Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology by Olga Fourkioti, Matt De Vries, Reed Naidoo, Chris Bakal

“…By incorporating neighboring tiles into the analysis, we examined whether contextual information improves or impairs the network’s ability to identify patterns and features critical for accurate classification. …”
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Decoding Customer Experience: A Comparative Analysis of Electric and Internal Combustion Vehicles in the U.S. Market Through Structured Topic Modeling by Nina Rizun, Bartosz Duzinkewicz

“…By integrating metadata contexts such as satisfaction levels (rating), review timelines, and predicted author gender, we uncovered patterns in functional and non-functional values driving consumer perceptions. …”
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