Year-Round Acoustic Presence of Beaked Whales (Ziphiidae) Far Offshore off Australia’s Northwest Shelf by Evgenii Sidenko, Iain Parnum, Alexander Gavrilov, Robert McCauley, Christine Erbe

“…An automatic detection routine for beaked whale clicks was developed, tested, and run on these recordings. The detection workflow included: (1) the extraction of impulsive signals from passive acoustic recordings based on an auto-regression model, (2) the calculation of a set of features of extracted signals, and (3) binary signal classification based on these features. …”
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Living in a Modern City: Digital Practices of Homeless People in St Petersburg by A. S. Chernoivanova

“…The peculiarities of perception are combined into a group of discursive patterns, the practice of using digital technologies – into a group of behavioral patterns. …”
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The value of MRI in differentiating ovarian clear cell carcinoma from other adnexal masses with O-RADS MRI scores of 4–5 by Lingling Lin, Le Fu, Huawei Wu, Saiming Cheng, Guangquan Chen, Lei Chen, Jun Zhu, Yu Wang, Jiejun Cheng

“…CA125, HE4, CEA, ROMA, endometriosis, shape, parity, unilocular, component, the growth pattern of mural nodules, high signal on T1WI, number of nodules, the ratio of signal intensity, and the ADC value were significantly different between CCCs and non-CCCs. …”
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Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research by Jaehyuk Lee, Kimyung Kim, Youngchae Cho, Hyeongdong Kim

“…Results: By comprehensively reviewing the consistencies and differences in the study outcomes, we emphasize the need to segment the gait cycle into specific phases (e.g., weight acceptance, push-off, foot clearance, and leg deceleration) during the treatment process of gait rehabilitation and to develop rehabilitation protocols aimed at restoring normal synergy patterns in each gait phase and fractionating reduced synergies. …”
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Enhanced automated art curation using supervised modified CNN for art style classification by Weiwei Li

“…To address these challenges, we developed a Modified CNN model capable of distinguishing art styles and movements using features such as color patterns, textures, and compositions. …”
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Emily Brontë’s Wuthering Heights in EFL Classroom: Writing Skills Focus by Rukaiya Akter Mukta, Md. Shahjahan Kabir, Farhana Yeasmin

“…Emily Brontë’s Wuthering Heights is an excellent source of different sentence patterns, rhetorical devices, idiomatic expressions, anaphoric and cataphoric references, ellipses, etc. …”
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Detecting ADHD through natural language processing and stylometric analysis of adolescent narratives by Juan Barrios, Elena Poznyak, Jessica Lee Samson, Halima Rafi, Simon Gabay, Florian Cafiero, Martin Debbané, Martin Debbané

“…A further novel aspect of this research is the use of SDMs as a linguistic dataset, which reveals meaningful patterns while engaging psychological processes related to identity and memory.MethodOur objectives were to: (1) characterize linguistic features of SDMs in ADHD and control groups; (2) assess the predictive power of stylometry in classifying participants' narratives as belonging to either the ADHD or control group; and (3) conduct a qualitative analysis of key linguistic markers of each group. …”
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Identification of cell adhesion related signature for molecular subtyping and prognostic prediction in acute myeloid leukemia by Caifang Zhao, Xiang Weng, Wei He

“…A prognostic model comprising 8 genes was developed, showing strong predictive power for overall survival and significant correlations with immune cell infiltration patterns. …”
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Early and Delayed Rebound Intracranial Hypertension following Epidural Blood Patch in a Case of Spontaneous Intracranial Hypotension by Elham Jafari, Maryam Karaminia, Mansoureh Togha

“…Following EBP for treatment of SIH, new onset of headache having a different pattern and location should always be monitored for the occurrence of RIH. …”
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Mapping gene associations in human mitochondria using clinical disease phenotypes. by Curt Scharfe, Henry Horng-Shing Lu, Jutta K Neuenburg, Edward A Allen, Guan-Cheng Li, Thomas Klopstock, Tina M Cowan, Gregory M Enns, Ronald W Davis

“…This classification of phenotypic features of each gene allowed for the comparison of diseases between different genes. …”
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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…Our method first preprocesses reviews and extracts key linguistic features based on extravagant words using a fuzzy logic-based membership function that highlights extreme linguistic patterns. …”
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Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

“…Modern complexes providing biometric identification face several problems, such as information drift caused by the variability of facial patterns, voice timbres, and current states. Information drift can characteristically exhibit short-term (subjects' states have changed) or long-term changes. …”
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Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome by Yifei He, Yoonmi Hong, Ye Wu

“…Except for tracking algorithms, different fiber filtering methods, along with the various biological features themselves, displayed more variable patterns of laterality change. …”
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Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

“…The SHAP algorithm was further used to quantify the contribution of each gene based on cell death features to the prediction of sepsis. Key PCD patterns were identified based on model evaluation metrics (Accuracy, Precision, Recall, F1 score, and Receiver Operating Characteristic Curve ROC), and their associated DEGs were obtained through intersection, followed by immune-related analysis of DEGs. …”
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Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles by Wasana Yuwattana, Thanit Saeliw, Marlieke Lisanne van Erp, Chayanit Poolcharoen, Songphon Kanlayaprasit, Pon Trairatvorakul, Weerasak Chonchaiya, Valerie W. Hu, Tewarit Sarachana

“…Clustering analyses revealed three distinct subgroups identifiable through both clinical symptoms and gene expression patterns. When ASD were grouped based on clinical features, stronger associations emerged between symptoms and underlying molecular profiles compared to grouping based on gene expression alone. …”
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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

“…These methods typically use ML algorithms to identify patterns within features extracted from data representing structural conditions, thereby inferring damage from changes in these patterns. …”
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Exploring the interplay between population profile and optimal routes in U.S. cities by Diego Ortega, Elka Korutcheva

“…We also established a classification for cities and developed a simple point pattern model for the population, which aligns with the well-known decreasing exponential density expression. …”
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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…The model describes the most important blocks of the processes of interaction between viruses and the human body, namely, the spread of infection in productively and latently infected cells, the appearance of viral mutants and the development of the T cell immune response. Furthermore, our analysis aims to study the possibilities of transferring the clinical pattern of the disease from a more severe state to a milder one. …”
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Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones by Dimitrios Mpouziotas, Petros Karvelis, Ioulia Kapsali, Chrysostomos Stylios, Vasilios Tsiouris

“…This system leverages state-of-the-art computer vision techniques with spatial analysis characteristics to analyze wildlife bird behavior through optical cameras and extract features for each bird. Coupled with data derived from thermal imagery as a crucial factor, it can perform a comprehensive risk assessment by correlating thermal patterns with behavioral insights, utilizing the Analytic Hierarchy Process (AHP) method. …”
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Alternative Splicing of Fibroblast Growth Factor Receptor IgIII Loops in Cancer by Klaus Holzmann, Thomas Grunt, Christine Heinzle, Sandra Sampl, Heinrich Steinhoff, Nicole Reichmann, Miriam Kleiter, Marlene Hauck, Brigitte Marian

“…This paper aims to summarize expression patterns in various tumor types and outlines possibilities for further analysis and application.…”
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