3D-Printed Self-Assembling Helical Models for Exploring Viral Capsid Structures by Donald Plante, Keegan Unzen, John R. Jungck

“…Expanding on prior work with 3D-printed self-assembling spherical capsids, we developed helical models that integrate geometric parameters and magnetic interactions to mimic key features of the assembly process of helical viral capsids. …”
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Dynamic monitoring of fine-grained ecological vulnerability in dryland urban agglomeration integrating novel remote sensing index and explainable machine learning by Chunqiang Li, Shanchuan Guo, Qin Huang, Haowei Mu, Bo Yuan, Zilong Xia, Hong Fang, Wei Zhang, Pengfei Tang, Peijun Du

“…Results showed that DEVI effectively captured the surface ecological features, such as mobile sand, with high correlations (>0.79) to indicators. …”
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Comprehensive molecular portrait reveals genetic diversity and distinct molecular subtypes of small intestinal neuroendocrine tumors by Céline Patte, Roxane M. Pommier, Anthony Ferrari, Felicia Fei-Lei Chung, Maria Ouzounova, Pauline Moullé, Mathieu Richaud, Rita Khoueiry, Maëva Hervieu, Silvia Breusa, Marion Allio, Nicolas Rama, Laura Gérard, Valérie Hervieu, Gilles Poncet, Tanguy Fenouil, Vincent Cahais, Anne-Sophie Sertier, Anne Boland, Delphine Bacq-Daian, Benjamin Ducarouge, Julien C. Marie, Jean-François Deleuze, Alain Viari, Jean-Yves Scoazec, Colette Roche, Patrick Mehlen, Thomas Walter, Benjamin Gibert

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T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

“…Multi-layer machine learning-based diagnostic models were developed by leveraging motif-based feature and deep learning-based feature extraction using ProteinBERT from the 100 most abundant CDR3 sequences per sample. …”
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Preoperative prediction for early recurrence in patients with pancreatic ductal adenocarcinoma: combining radiomics and abdominal fat analysis by Suo Yu Yan, Fang Ming Chen, Bang Jun Guo, Su Hu, Li Lin, Yi Wen Yang, Xin Yu Jiang, Hui Yao, Chun Hong Hu, Yun Yan Su

“…All patients were divided into four subgroups according to recurrence patterns: local recurrence subgroup, distant recurrence subgroup, “local + distant” recurrence subgroup, and “multiple” recurrence subgroup. …”
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Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder by Bochao Zou, Xiaolong Zhang, Le Xiao, Ran Bai, Xin Li, Hui Liang, Huimin Ma, Gang Wang

“…To overcome that, the proposed approach combined feature extraction and sequence modeling methods to fully utilize the pattern of missing values from longitudinal data. …”
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Methylmap: visualization of modified nucleotides for large cohort sizes by Elise Coopman, Svenn D’Hert, Rosa Rademakers, Wouter De Coster

“…Understanding methylation patterns at the nucleotide level has become pivotal for advancing this field. …”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…This signal contains a number of distinctive waveform patterns that reflect the subject's health state in relation to sleep, neurological disorders, memory functions, and more. …”
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Neuronal adaptation translates stimulus gaps into a population code. by Chun-Wei Yuan, Leila Khouri, Benedikt Grothe, Christian Leibold

“…Neurons in sensory pathways exhibit a vast multitude of adaptation behaviors, which are assumed to aid the encoding of temporal stimulus features and provide the basis for a population code in higher brain areas. …”
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Altered microbial biogeography in an innate model of colitis by Antonia Boger-May, Theodore Reed, Diana LaTorre, Katelyn Ruley-Haase, Hunter Hoffman, Lauren English, Connor Roncagli, Anne-Marie Overstreet, David Boone

“…RAG1−/−, but not TRAG, mice exhibited a structured pattern of bacterial abundance with decreased Firmicutes and Proteobacteria but increased Bacteroidetes along the proximal to distal axis of the gut. …”
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Finite Mixture of the Hidden Markov Model for Driving Style Analysis by Lusa Ding, Ting Zhu, Yanli Wang, Yajie Zou

“…Analyzing driving style is useful for developing intelligent vehicles. 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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Methodological approach to evaluation the level of a university organizational culture by E. V. Kotov, Yu. O. Roschina

“…The purpose of the study was to identify the features and patterns in the formation and implementation of the organizational culture of the university of humanitarian profile. …”
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A Turkish Word Frequency Tool: LexiTR Frequency by Taner Sezer, Özay Karadağ

“…Word frequency plays a critical role in understanding the characteristics and usage patterns of a word. This study introduces the "Turkish Word Frequency Tool" (TWFT), developed as part of the LexiTR Project, along with its features. …”
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Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model by Klavdia Zemlianova, Amitabha Bose, John Rinzel

“…We develop a reduced three-variable rate model of the RNN and analyze its dynamic properties. …”
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Coexistence or a related condition: an infant with retinoblastoma and Gaucher disease by Burcu Berberoğlu-Ateş, Ali Varan, Hülya Demir, Canan Akyüz, Aysel Yüce

“… Gaucher disease (GD) is the most prevalant lysosomal lipid storage disease that results from loss of function of acid β-glucosidase due to mutations in the glucocerebrosidase gene. Common features of all types of GD include hepatosplenomegaly, cytopenia, and various patterns of bone and lung involvement. …”
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Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancers by Haohong Zhang, Xinghao Xiong, Mingyue Cheng, Lei Ji, Kang Ning

“…In this study, we aimed to decode this complex relationship by developing ASD-cancer (autoencoder-based subtypes detector for cancer), a semi-supervised deep learning framework that could extract survival-related features from tumor microbiome and transcriptome data, and identify patients’ survival subtypes. …”
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Fractal approach to geological and economic assessment of germanium-bearing lignites by O. I. Bilous, M. S. Burlutskyy

“…This article explores the development of scientifically robust methods for the geological and economic evaluation of germanium-bearing lignites, integrating geochemical, petrophysical, and economic considerations. …”
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Evaluation of the Occurrence of Initial Failures from Stress Concentrators in Welded Joints and Structural Elements by K. А. Molokov, V. V. Novikov, M. Dabalez

“…The literature on the topic was analyzed. The features of proven physical models and patterns of behavior of materials were taken into account. …”
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Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

“…This neural network automatically and through unsupervised learning identifies patterns, complex structures, and high-level features of the input data. …”
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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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