Computed Tomographic Features of Bezoars and Other Gastrointestinal Foreign Bodies in Dogs and Cats: A Comparative Analysis by Jongwon Koo, Kidong Eom, Jaehwan Kim, Jeongyun Jeong, Hongji Yoon, Minsu Lee, Jinsoo Park, Jongmun Cho

“…This study presents a comparative analysis of the computed tomographic (CT), radiographic, and ultrasonographic (US) characteristics of gastrointestinal foreign bodies, including bezoars, in dogs and cats, and evaluates their association with complications and clinical outcomes. …”
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Yield, Protein, and Starch Equilibrium of Indigenous Varieties: An Open Door for Computational Breeding in Enhancing Selection Strategies by Gabriela Gorinoiu, Cerasela Petolescu, Alina Laura Agapie, Ciprian Buzna, Petru Rain, Nicolae Marinel Horablaga, Adina Horablaga, Ionel Samfira, Marius Valentin Boldea, Irina Petrescu, Ioan Sarac, Emilian Onisan

“…To monitor the equilibrium pattern, the Glosa variety was used as a reference, known for its optimal balance of yield and protein across Romania, as reported in several studies and farmers’ reports. …”
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Sheltering in place: unveiling how urban park characteristics shaped visiting patterns during the pandemic using machine learning by Dawon Oh, In Kwon Park

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Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning. by Aime Bienfait Igiraneza, Panagiota Zacharopoulou, Robert Hinch, Chris Wymant, Lucie Abeler-Dörner, John Frater, Christophe Fraser

“…A second challenge is that combinations of bnAbs are required to avoid the inevitable resistance to a single bnAb, and computationally determining optimal combinations of bnAbs is an unsolved problem. …”
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Consistent pattern of epidemic slowing across many geographies led to longer, flatter initial waves of the COVID-19 pandemic. by Michal Ben-Nun, Pete Riley, James Turtle, Steven Riley

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Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…This approach holds promise for refining computer-aided pathology workflows, potentially leading to more reliable and earlier disease diagnoses.…”
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Decoding per- and polyfluoroalkyl substances (PFAS) in hepatocellular carcinoma: a multi-omics and computational toxicology approach by Yanggang Hong, Deqi Wang, Zeyu Liu, Yuxin Chen, Yi Wang, Jiajun Li

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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

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Corrigendum to “Pattern Formation in a Reaction-Diffusion Predator-Prey Model with Weak Allee Effect and Delay” by Hua Liu, Yong Ye, Yumei Wei, Weiyuan Ma, Ming Ma, Kai Zhang

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Light-driven soft robot with compound motion patterns based on gas–liquid phase transition chamber by Zheqi Zhou, Kejian Chen, Yang Shen, Yifan Zhu, Qian Wang, Xiaofen Zeng, Yuke Qin, Songlin Zhuang

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A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases by Pamalla Veena, Vanitha Kattumuri, Yutaka Watanobe, Rage Uday Kiran, So Nakamura, Palla Likhitha, Koji Zettsu

“…Partial periodic-frequent pattern mining is a critical technique in the data mining field. …”
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EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis by Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

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Sliding window based rare partial periodic pattern mining algorithms over temporal data streams by K. Jyothi Upadhya, Ronan Lobo, Mini Shail Chhabra, Aman Paleja, B. Dinesh Rao, Geetha M., Prachi Sisodia, Bolusani Akshita Reddy

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Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm by Kaiqiao Tian, Meiqi Song, Ka C. Cheok, Micho Radovnikovich, Kazuyuki Kobayashi, Changqing Cai

“…The algorithm computes the optimal transformation matrix between sensors, correcting misalignments in rotation, translation, and scale. …”
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Enhancing Cyber Resilience Through Traffic Generation Patterns in Complex Networks: A Study on Cascading Failures by B. Aymar Le Pere Tchimwa, Jean-Pierre Lienou, Wilson Ejuh Geh, Frederica Nelson, Sachin Shetty, Charles Kamhoua

“…Assuming the network includes a host-based restoration process as an inherent recovery mechanism that initiates after an incident, we compare the resilience of different network topologies (scale-free, regular lattice, and Erdőos-Rényi), by conducting computational experiments to assess the effect of various traffic generation patterns by placing hosts on high-degree, low-degree, or randomly selected nodes. …”
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Identifying AC Control Patterns From a Massive Longitudinal Log Dataset Using Deep Clustering by Seunghwan Bae, Donghee Kim, Seokhwan Seong, Jaeyeon Jang, Young-Kyoon Suh, Honghyun Kim, Dongwoo Han, Inuk Jung

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EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis by Majid Roshanaei, Hamzeh Norouzi, Julie Onton, Scott Makeig, Alireza Mohammadi

“…This study examined these mechanisms by analyzing EEG connectivity patterns across different brain regions while participants evoked various emotions. …”
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Establishment of distance measures on Fermatean fuzzy sets and their applications in pattern classification and multi-attribute decision-making by Yuhan Li, Sijia Zhu, Juan Liao, Xue Han, Zhe Liu

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Differential patterns of axonal loss associated with threat-related adversity in atypical depression and non-atypical depression by Huifeng Zhang, Lei Ding, Lanxiang He, Rubai Zhou, Wenxian Lu, Tenghuan Xu, Ye Wu, Daihui Peng

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Optimizing motorcycle tire tread patterns to mitigate hydroplaning: Development and validation of a predictive mathematical model by Weerachai Chaiworapuek, Ravivat Rugsaj, Chakrit Suvanjumrat

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