Polysemy of Agentive Suffixes in Slavic: Toward a Cognitive Semantic Analysis by Anastasija Andrejevna Andrejeva

“…This article analyses the polysemy of agent noun suffixes in six Slavic languages (Russian, Ukrainian, Polish, Czech, Serbian, and Slovenian) by using the “metonymic” approach to word formation developed by Laura Janda (2011). It discusses the semantic features of verbs that agentive suffixes can be attached to, and it describes the semantic types represented by the derived nouns. …”
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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

“…In recent years, automated methods have been developed to extract mobility phenotypes and analyse, using statistical methods, whether there are differences between control strains and disease model strains. …”
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Cementor: A toolbox to generate bio-cemented soils with specific microstructures by Aoxi Zhang, Anne-Catherine Dieudonné

“…Different microstructures can have different effects on the mechanical and hydraulic responses of the material, hence it is important to develop the capacity to model these microstructures. …”
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Differentiation of apical and basal dendrites in pyramidal cells and granule cells in dissociated hippocampal cultures. by You Kure Wu, Kazuto Fujishima, Mineko Kengaku

“…Hippocampal pyramidal cells and dentate granule cells develop morphologically distinct dendritic arbors, yet also share some common features. …”
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Psychotherapist remarks’ ML classifier: insights from LLM and topic modeling application by Alexander Vanin, Vadim Bolshev, Anastasia Panfilova

“…The resulting topics are used as features to train an ML classifier, which is then tested on a case study comparing Carl Rogers’ sessions with those of modern Cognitive Behavioral Therapy (CBT) practitioners.ResultsThe analysis identifies the most common and stable topics across both therapist groups, highlighting recurring patterns and unique thematic compositions. …”
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FAST Drift Scan Survey for H i Intensity Mapping. II. Stacking-based Beam Construction of the 19-feed Array at 1.4 GHz by Xinyang Zhao, Yichao Li, Wenxiu Yang, Furen Deng, Yougang Wang, Fengquan Wu, Xin Wang, Xiaohui Sun, Xin Zhang, Xuelei Chen

“…Based on the Five-hundred-meter Aperture Spherical radio Telescope (FAST), we employ two sets of drift-scan survey data and merge the measurements to construct the beam patterns of the 19 FAST L -band feeds. To model the beams, we utilize the Zernike polynomial, which effectively captures asymmetric features of the main beam and the different side lobes. …”
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HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…To validate the model, we developed a population prediction model that integrates the multi-scale features of PAUs and introduced Leiden-IES-PMS, a community detection method based on the Leiden algorithm, which integrates internal and external environmental semantics and adopts a proximity merging strategy. …”
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A Novel Radiology-Adapted Logistic Model for Non-Invasive Risk Stratification of Pigmented Superficial Skin Lesions: A Methodological Pilot Study by Betül Tiryaki Baştuğ, Hatice Gencer Başol, Buket Dursun Çoban, Sinan Topuz, Özlem Türelik

“…This methodological pilot study was designed to explore the feasibility and initial diagnostic performance of a novel radiology-adapted logistic regression approach. To develop and preliminarily evaluate a new logistic model integrating both structural (lesion size, depth) and vascular (Doppler patterns) ultrasonographic features for non-invasive risk stratification of pigmented superficial skin lesions. …”
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Exploring AI Ethics Syllabi Through NLP Cluster Analysis by Kerrie Hooper, Stephanie Lunn

“…Numerous professional organizations, such as IEEE have developed AI ethics guidelines. Additionally, academia is essential for fostering innovation and developing gifted people who work in both the ethical and technical spheres. …”
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Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…The developed DL model integrates convolutional neural network (CNN) layers to capture spatial features and long short-term memory (LSTM) layers to extract temporal patterns from demographic and activity-related variables. …”
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Comparative analysis of induced vs. spontaneous models of autoimmune uveitis targeting the interphotoreceptor retinoid binding protein. by Jun Chen, Haohua Qian, Reiko Horai, Chi-Chao Chan, Yishay Falick, Rachel R Caspi

“…Unlike previously reported, IRBP-induced EAU in B10.RIII mice exhibited two distinct patterns of disease depending on clinical scores developed after onset: severe monophasic with extensive destruction of the retina and rapid loss of visual signal, or lower grade with a prolonged chronic phase culminating after several months in retinal degeneration and loss of vision. …”
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Positive Psychotherapy in action: the “DYNAMICS” method for formulating basic conflicts by Ali Eryilmaz

“…The conflicts between the concepts developed by the clients form the basis of the basic conflict. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study used pen tablet and fNIRs device to compare writing dynamics and brain activity between ADHD with coexisting ASD and typically developing (TD) children during handwriting patterns. …”
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Dynamics of HLB Transmission: Integrating Saturated Removal and Vector Bias in Spatial/Non-Spatial Models by Yang Liu, Yirong Gao, Fumin Zhang, Shujing Gao

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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Finally, multiple experiments under different conditions are conducted, and the results demonstrate that the proposed CGKAN method, by integrating the individual advantages of 1D-CNN, BiGRU, and KAN, efficiently captures complex nonlinear patterns in battery health features and maintains stable performance across various operating conditions.…”
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Causes and Factors of Changes in Consumer Behavior by Larisa Moskovceva, Svetlana Yazykova, Irina Shaposhnikova, Alina Orlova

“…Digital technologies that thrived during the pandemic shaped a new vector and patterns of consumer behavior that developed as part of pre-COVID global trends and during the pandemic. …”
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Detailed geomorphological cartography of the Fildes Peninsula, South Shetland Islands, Antarctica by P. C. Cazaroto, F. N. J. Villela, C. Miranda, M. R. Francelino, C. E. G. R. Schaefer

“…The sample area, a ‘U’-shaped paleovalley, shows features like snowbanks, solifluction lobes, patterned ground, and terraces shaped by glacial retreat and tectonics. …”
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Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka by Penjani Hopkins Nyimbili, Mukuka Himunga Mulenga, Bwalya J. Kawimbe, Faustin A. S. Banda, Erastus Misheng’u Mwanaumo, Wellington Didibhuku Thwala

“…By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model was developed. The methodology involved using Geographic Information System (GIS) techniques and digital elevation models (DEMs) to assess geological features and manmade structures. …”
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Neurobiology-based cognitive biotypes using multi-scale intrinsic connectivity networks in psychotic disorders by Pablo Andrés-Camazón, Covadonga M. Diaz-Caneja, Ram Ballem, Jiayu Chen, Vince D. Calhoun, Armin Iraji

“…K-means clustering identified patient subgroups based on these features. Two biotypes with different functional brain alteration patterns were identified. …”
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A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck by Rui Luo, Gongxin Yang, Huimin Shi, Yining He, Yongshun Han, Zhen Tian, Yingwei Wu

“…Demographic and magnetic resonance imaging (MRI) data were collected, with qualitative features (e.g., skin thickening, lesion morphology, lymphadenopathy, MRI signal intensity) and quantitative variables (e.g., age, lesion size, apparent diffusion coefficients (ADCs), wash-in rate, time to peak (TTP), time-signal intensity curve (TIC) patterns) examined. …”
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