PATTERNS OF LOCAL AND GENERAL IMMUNITY AMONG CHILDREN SUFFERING FROM COMMON ILLNESSES ACCOMPLISHED BY LYMPHADENOPATHIES by N. N. Popov, A. N. Savvo, E. A. Romanova

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Patterns and Mechanisms of Niche Partitioning Between Related Parasitoids (Hymenoptera) Sharing the Same Host Species by Vladimir E. Gokhman

“…The present review summarizes the main existing concepts and facts and suggests principal patterns and mechanisms that allow for the coexistence of several members of a particular parasitoid genus at the expense of the same host. …”
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Differences in motor function and psychological factors across phenotypic patterns of freezing of gait in Parkinson’s disease by CHANG Song, CUI Xiao, HUANG Heqing

“…Objective‍　‍To investigate the characteristic changes in motor function and psychological factors among Parkinson’s disease (PD) patients with different phenotypic patterns of freezing of gait (FOG), and to explore the trends in phenotypic heterogeneity of these features. …”
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Dynamical patterns and nonreciprocal effective interactions in an active-passive mixture through exact hydrodynamic analysis by James Mason, Robert L. Jack, Maria Bruna

“…Abstract The formation of dynamical patterns is one of the most striking features of nonequilibrium physical systems. …”
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Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

“…In this paper, a neutrosophic CLBP (completed local binary pattern) based grasshopper species classification framework is proposed. …”
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Challenges with Conventional Dermal Filler Guidelines: Considering Multi-Axes Facial Rotation Asymmetry Patterns by Erik Koppert, Kyu-Ho Yi

“…As new insights into “multi-axes facial rotation” patterns emerge, there is a pressing need to update the standards for facial assessment, consultation, and treatment to align with modern aesthetic practices. …”
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Can explainable AI classify shrike (Laniidae) eggs by uncovering species-wide pigmentation patterns? by Paweł Pstrokoński, Łukasz Roszkowiak, Anna Korzyńska, Wojciech Wójcik, Martin Päckert, Joanna Rosenberger, Dominika Mierzwa-Szymkowiak, Magdalena Sepkowska, Jan Lontkowski, Marek Słupek, Krzysztof Damaziak

“…To do this, we used Convolutional Neural Networks (CNNs) to classify shrike eggs and explore potential correlations between egg identification and eggshell patterns. Our CNN model achieved over 95% accuracy in predicting species, but identifying specific discriminative features proved difficult, as the model only highlighted general trends. …”
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Histomorphological patterns of skin adnexal tumours with an insight into molecular updates - A single institutional study by Sangeetha Kandasamy, Roopmala Murugan, Gramani Arumugam Vasugi, Kumudhini Priya Gunasekaran

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Complex Patterns of Past and Ongoing Crustal Deformations in Southern California Revealed by Seismic Azimuthal Anisotropy by Shucheng Wu, Chengxin Jiang, Vera Schulte‐Pelkum, Ping Tong

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Pattern Recognition Receptor-Mediated Chronic Inflammation in the Development and Progression of Obesity-Related Metabolic Diseases by Lili Yu, Yanhua Li, Cancan Du, Weidong Zhao, Hanxiao Zhang, Yun Yang, Aiping Sun, Xiangfeng Song, Zhiwei Feng

“…Obesity-induced chronic inflammation is known to promote the development of many metabolic diseases, especially insulin resistance, type 2 diabetes mellitus, nonalcoholic fatty liver disease, and atherosclerosis. Pattern recognition receptor-mediated inflammation is an important determinant for the initiation and progression of these metabolic diseases. …”
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Influence of polarization angle on LIPSS formation and ablation efficiency in direct laser interference patterning of metals by Francisco Udo Marins Almeida, Bogdan Voisiat, Ignacio Tabares, Fabian Ränke, Andrés Fabián Lasagni

“…Abstract This study explores the influence of the polarization angle on the formation of Laser-Induced Periodic Surface Structures (LIPSS) during Direct Laser Interference Patterning (DLIP) and its impact on ablation efficiency in stainless steel and aluminum 2024 substrates. …”
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Assessment of yield stability patterns using sentinel-2 over a 7-year period by Svetlana Košánová, Andrej Halabuk, Pavol Kenderessy, Tomáš Rusňák

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Fluctuating ecological networks: A synthesis of maximum‐entropy approaches for pattern detection and process inference by Tancredi Caruso, Giulio Virginio Clemente, Matthias C. Rillig, Diego Garlaschelli

“…Fluctuations of species' properties can significantly affect higher‐order network features, for example, robustness and nestedness, and should therefore be taken into account in null models for pattern detection and hypothesis testing. …”
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Detecting significant expression patterns in single-cell and spatial transcriptomics with a flexible computational approach by Hadas Biran, Tamar Hashimshony, Tamar Lahav, Or Efrat, Yael Mandel-Gutfreund, Zohar Yakhini

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Pattern of geographical distribution and diversity of vascular plants: A case study of South Waziristan, Pakistan by Asad Ullah, Lal Badshah, Nizam Uddin, Mubasher Islam, Farhan Akhtar, Tahira

“…A comprehensive plant survey in the district of South Waziristan for three consecutive years (2021–2023) was conducted to document the plant’s diversity and distribution patterns of plant communities. The study revealed the floristic compositions, habitats, biological spectra, climatic preferences, and chorological and phenological aspects of the plant resources. …”
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Generating Realistic Vehicle Trajectories Based on Vehicle–Vehicle and Vehicle–Map Interaction Pattern Learning by Peng Li, Biao Yu, Jun Wang, Xiaojun Zhu, Hui Zhang, Chennian Yu, Chen Hua

“…Moreover, the multihead cross-attention mechanism is also used to learn the interaction features between the vehicles and the map, addressing the challenge of trajectory generation’s difficulty in perceiving static environments. …”
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Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns by Zeeshan Ali, Jihoon Moon, Saira Gillani, Sitara Afzal, Muazzam Maqsood, Seungmin Rho

“…However, in this study, a novel approach is proposed in which spatiotemporal features are extracted via deep learning methods with a transfer learning paradigm. …”
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Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

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Genotyping and drug susceptibility patterns of Mycobacterium avium subsp. hominissuis isolates from different hosts by Kei-ichi Uchiya, Takeaki Wajima, Taku Nakagawa, Takayuki Inagaki, Kenji Ogawa

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Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

“…Moreover, representative file access patterns, including temporal, spatial, length, and frequency patterns, are identified for individual files, directories, and file formats, and used as features. …”
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