Combining spatial transcriptomics with tissue morphology by Eduard Chelebian, Christophe Avenel, Carolina Wählby

“…Abstract Spatial transcriptomics has transformed our understanding of tissue architecture by preserving the spatial context of gene expression patterns. Simultaneously, advances in imaging AI have enabled extraction of morphological features describing the tissue. …”
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Unmasking Nuances Affecting Loneliness: Using Digital Behavioural Markers to Understand Social and Emotional Loneliness in College Students by Malik Muhammad Qirtas, Evi Zafeiridi, Eleanor Bantry White, Dirk Pesch

“…The XGBoost model achieved the highest accuracy (78.48%) in predicting loneliness. Feature importance analysis found the critical role of phone usage and location-based features in distinguishing between social and emotional loneliness.…”
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Contextual information based anomaly detection for multi-scene aerial videos by Girisha S, Ujjwal Verma, Manohara M M. Pai, Radhika M. Pai

“…Additionally, temporal and appearance features are extracted to handle the complexities of dynamic videos, enabling the system to recognize motion patterns and visual inconsistencies over time. …”
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Improving time series forecasting in frequency domain using a multi resolution dual branch mixer with noise insensitive ArcTanLoss by Yahao Zhang, Xiaofeng Zhou, Yichi Zhang, Shuai Li, Shurui Liu

“…Secondly, we comprehensively extract the frequency information by employing a dual branch architecture that simultaneously captures both global and local features at each frequency resolution, providing a more comprehensive representation of temporal patterns. …”
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A codon usage-based approach for the stratification of Influenza A across recent spillovers by Tommaso Alfonsi, Matteo Chiara, Anna Bernasconi

“…Interestingly, a reduced set of amino acids and associated codons was sufficient to summarize salient patterns of IAV genomes across the 3 paradigmatic cases herein considered, suggesting shared evolutionary signatures across IAV serotypes.Codon usage-based stratification effectively highlighted key epidemiological events and enabled detailed comparisons of genomic features across IAV serotypes. …”
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A comprehensive framework for multi-modal hate speech detection in social media using deep learning by R. Prabhu, V. Seethalakshmi

“…CNNs extract key spatial features in visual tasks, while LSTMs process video sequences to capture evolving visual patterns. …”
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Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study by Mathias Holsey Gramkow, Andreas Brink-Kjær, Frederikke Kragh Clemmensen, Nikolai Sulkjær Sjælland, Gunhild Waldemar, Poul Jennum, Steen Gregers Hasselbalch, Kristian Steen Frederiksen

“…By evaluating the movement patterns during day and nighttime, we calculated 510 activity-related features, including robustness and fragmentation of the circadian rhythm. …”
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Development of 3D Chromatin Texture Analysis Using Confocal Laser Scanning Microscopy by André Huisman, Lennert S. Ploeger, Hub F. J. Dullens, Neal Poulin, William E. Grizzle, Paul J. van Diest

“…Conclusion: A set of 35 3D nuclear texture features was used successfully to assess nuclear chromatin patterns in 3D images obtained by confocal laser scanning microscopy, and as a proof of principle we showed that these features may be clinically useful for analysis of prostate neoplasia.…”
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery by Fouad Trad, Bassel Isber, Ryan Yammine, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Rachid Haidar, Ghada El-Hajj Fuleihan, Ali Chehab

“…After modeling, we derived feature importance for each of the two models and decreased the number of features to reach a parsimonious highly performing model. …”
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Finite Mixture of the Hidden Markov Model for Driving Style Analysis by Lusa Ding, Ting Zhu, Yanli Wang, Yajie Zou

“…Previous studies usually consider the statistical features (e.g., the means and standard deviations of brake pressure) of the measured driving data or manually define the number of patterns divided by behavior semantics to characterize driving styles. …”
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Standardizing initial dilution titers of antinuclear antibodies for the screening of systemic lupus erythematosus by Joseph Sushil Rao, Vineeta Shobha, Tinku Thomas, Usha Kini

“…Background: Systemic Lupus Erythematosus (SLE), a systemic autoimmune disease, is diagnosed by correlating clinical features with a positive Antinuclear Antibody (ANA) test. …”
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A Closer Look on Linguistic Politeness among Bugis Youth: Tabék in Situational and Philosophical Context by Gusnawaty Gusnawaty, Lukman Lukman, Andi Nurwati

“…Data utterances were coded and then analyzed using a concordance and cluster-N-Gram features in the AntConc 3.5.8 application to find the sentence pattern variations with the Bugis word tabék. …”
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Study on the prehistoric decorated spindle whorls in Haidai region of China by Yuan Tao, Qicai Wang

“…The patterns on the decorated spindle whorls were analyzed and classified, and the characteristics of the patterns in different cultural periods were studied, and based on this, the purpose of making decorated spindle whorls and the function and meanings of the patterns were discussed. …”
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Grasping metaphoric and metonymic processes in terminology by Maribel Tercedor Sánchez, José Manuel Ureña Gómez Moreno, Juan Antonio Prieto Velasco

“…In this paper, we describe salient features of metaphor and metonymy in specialised domains and show the importance of retrieving and codifying specialised knowledge units through metaphoric and metonymic patterns in texts. …”
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Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics by Thawirasm Jungrungrueang, Sawrawit Chairat, Kasidach Rasitanon, Praopim Limsakul, Krit Charupanit

“…This study investigated dynamic features of resting-state electroencephalography (EEG) functional connectivity to identify characteristic patterns of dementia subtypes, such as Alzheimer’s disease (AD) and frontotemporal dementia (FD), and to evaluate their potential as biomarkers. …”
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SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

“…SpatConv extracts sequence features from a pretrained large protein language model and structure features from a local coordinate framework. …”
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Workplace determinants of social capital: cross-sectional and longitudinal evidence from a Finnish cohort study. by Tuula Oksanen, Ichiro Kawachi, Anne Kouvonen, Soshi Takao, Etsuji Suzuki, Marianna Virtanen, Jaana Pentti, Mika Kivimäki, Jussi Vahtera

“…We used ecometrics approach to estimate social capital of work units. Features of the workplace were work unit's demographic and employment patterns and size, obtained from employers' administrative records. …”
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Case report: Diversity of imaging in cardiac angiosarcoma: two cases with disparate enhancement and metabolic manifestations by Sinan Chen, Huan Cen, Jie Zhao, Pengcheng Ran, Weihui Lu, Pengtao Sun

“…Cardiac angiosarcoma, a rare and aggressive malignancy arising from endothelial cells, is difficult to diagnose owing to its nonspecific clinical symptoms and variable imaging features. Two cases of cardiac angiosarcoma (CA) are presented, each with different enhancement and metabolic patterns on imaging. …”
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Adaptive Frequency Domain Data Augmentation for Sequential Recommendation by Zhibin Yang, Jiwei Qin, Donghao Zhang, Jie Ma, Peichen Ji

“…Most existing approaches model user preference in the time domain, ignoring the impact of different frequency patterns (periodic features) on users’ behaviors. …”
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Intergenerational transmission of values in the modern multicultural world by B. A. Vyatkin, V. Yu. Khotinets, O. V. Kozhevnikova

“…Models of the intergenerational transmission of values of mothers and adolescents have been constructed and explained revealing the patterns of the transfer of cultural experience in multicultural regions of the Russian Federation.Theoretical significance of the obtained results lies in the possibility of expanding the existing knowledge about the features of the digital generation socialisation in the context of traditional inculturation, about the transformation of the social situation of the development of a growing person in the focus of a new reality and the possibility of interaction between generations of “different worlds”.Practical significance of the acquired knowledge is revealed in the possibility of using it for constructing modern concepts of education and development of psychological and pedagogical technologies for socialising a growing person in the context of epoch-making trends.…”
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