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

“…The feature patterns of the actively controlled group significantly differed from those of the inactively controlled group. …”
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The potential role of early life feeding patterns in shaping the infant fecal metabolome: implications for neurodevelopmental outcomes by Bridget Chalifour, Elizabeth A. Holzhausen, Joseph J. Lim, Emily N. Yeo, Natalie Shen, Dean P. Jones, Bradley S. Peterson, Michael I. Goran, Donghai Liang, Tanya L. Alderete

“…Neurodevelopmental outcomes were assessed using the Bayley Scales of Infant Development at 2 years. Changes in the infant fecal metabolome were associated with feeding patterns at 1- and 6-months. …”
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A Clinical–Radiomics Nomogram for the Preoperative Prediction of Aggressive Micropapillary and a Solid Pattern in Lung Adenocarcinoma by Xiangyu Xie, Lei Chen, Kun Li, Liang Shi, Lei Zhang, Liang Zheng

“…This study aimed to develop and validate a predictive model combining clinical and radiomics features for differentiating a high-risk MP/SP in LUAD. …”
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Commonalities and differences in gene expression patterns in major depressive disorder and chronic spontaneous urticaria: implications for comorbidity by Yibo Jiang, Wen Li, Lihao Zheng, Nan Ba

“…Further feature selection yielded 6 core transcriptomic features in the total population (BCL11A, BEX2, C5AR1, DDX60L, LCE3D, NAMPT), 2 in males (GNAQ, RNF19B), and 4 in females (GNG7, LCE3D, PYGL, UPP1). …”
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Identifying common patterns via country clustering based on key macroeconomic indicators after banking crises by Nigar Ashurbayli-Huseynova, Nigar Guliyeva

“…Using Sturges’ rule and Ward’s method in STATGRAPHICS 19, the clustering revealed country groups sharing similar crisis and post-crisis recovery patterns. The analysis of these 7 formed clusters and countries belonging to each allows us to determine common patterns explained through explicit and implicit common features. …”
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From personality diagnosis to pattern diagnosis: the experience of researching persons who have committed terrorist crimes by N.P. Nichiporenko, I.I. Patsakula, I.Sh. Galiev

“…</strong> To identify the characteristic features of personality radicalization and describe the structure of the radical pattern. …”
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Bacterial profile and antimicrobial susceptibility patterns of isolates from burn wound infection at tertiary care hospital by Nisha Devi, Manjula Vagarali, Lokjan Singh, Anil Kumar, Nishant Rai, Manjusha Tyagi

“…Considering that burn wound infections, both endogenous and exogenous, continue to be the leading cause of disability and mortality across all age groups and in both developed and developing nations, The antibiotic-resistant pattern of aerobic bacteria represents a vulnerable site for opportunistic colonization. …”
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Identification and characterization of the Quinoa AP2/ERF gene family and their expression patterns in response to salt stress by Bahlanes Bakhtari, Hooman Razi, Abbas Alemzadeh, Ali Dadkhodaie, Ali Moghadam

“…Abstract The APETALA2/ETHYLENE RESPONSIVE FACTOR (AP2/ERF) transcription factors play crucial roles in plant growth, development, and responses to biotic and abiotic stresses. …”
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Phaseless Diagnosis and Pattern Correction of Faulty Antenna Arrays via Advanced Bayesian Compressive Sensing Approaches by Zi An Wang, Ping Li

“…Meanwhile, to address the detected faults effectively, a novel pattern correction method within an alternate projection framework is further developed to recover the pattern features with minimal corrections. …”
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Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung by Jing Shen, Shaobin Wang, Hui Guan, Mingyi Di, Zhikai Liu, Qi Chen, Mei Li, Jie Shen, Ke Hu, Fuquan Zhang

“…An AI-driven image segmentation system segmented the initial CTV, evaluating 110 clinical parameters. The recursive feature elimination method selected pertinent features, and a random forest-based recursive prediction model was developed to establish a clinically viable recurrence prediction model.Results1. …”
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3D Pulse Image Detection and Pulse Pattern Recognition Based on Subtle Motion Magnification Technology by Chongyang YAO, Yongxin CHOU, Zhiwei LIANG, Haiping YANG, Jicheng LIU, Dongmei LIN

“…To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. …”
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Identifying comorbidity patterns of mental health disorders in community-dwelling older adults: a cluster analysis by Joshua Tobin, Michaela Black, James Ng, Debbie Rankin, Jonathan Wallace, Catherine Hughes, Leane Hoey, Adrian Moore, Jinling Wang, Geraldine Horigan, Paul Carlin, Helene McNulty, Anne M. Molloy, Mimi Zhang

“…Abstract As global life expectancy increases, understanding mental health patterns and their associated risk factors in older adults becomes increasingly critical. …”
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Detection of Cardiac Function Abnormality from MRI Images Using Normalized Wall Thickness Temporal Patterns by Mai Wael, El-Sayed H. Ibrahim, Ahmed S. Fahmy

“…Purpose. To develop a method for identifying abnormal myocardial function based on studying the normalized wall motion pattern during the cardiac cycle. …”
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The pattern of state organization in the new constitution of Lithuania: A third way between the presidential and parliamentary systems? by Andreas Hollstein

“…In the theoretical section, he writes that the classification of the patterns of state organization is relatively simple in the cases when the characteristics of the classified system correspond to the essential features of either British or American systems. …”
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Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study by Adedolapo Ogungbire, Suman Kumar Mitra

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Research on Ground Contact Characteristics and Influencing Factors of Tires with Complex Tread Patterns Based on Inverse Modeling by Xianbin Du, Haoyu Li, Mengdi Xu, Yunfei Ge

“…Taking the 205/50R17 radial tire as a representative case, a reverse modeling approach was employed to develop an accurate finite element model for tires incorporating intricate tread pattern features. …”
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Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion by Anjali Patel, Deepa Gupta, E. A. Gopalakrishnan, Divya Sasidharan, V. Sowmya, Mohammed Zakariah, Abdulaziz S. Almazyad

“…Abstract Intuitionistic fuzzy similarity measures (IFSMs) play a significant role in applications involving complex decision-making, pattern recognition, and image processing. Several researchers have introduced different methods of IFSMs, yet these IFSMs fail to provide rational decisions. …”
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Efficacy of Mepolizumab in the Treatment of Severe Asthma with a Mixed Granulocytic Pattern of Airway Inflammation (Case Report) by A. M. Gubareva, S. V. Fedosenko, D. A. Vinokurova, S. V. Nesterovich, E. S. Kulikov, D. V. Polyakova, E. A. Starovoitova

“…The most common mixed granulocytic pattern of severe asthma occurs in comorbid pathology, in particular, when it is combined with chronic obstructive pulmonary disease (COPD) or bronchiectasis.In the presented observations, both patients had an experience of smoking, a late manifestation of bronchial asthma with the development of centrilobular emphysema and an irreversible decrease in the FEV/FVC ratio as part of the development of COPD. …”
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Using Genetic Algorithm in Optimizing Decision Trees for Credit Scoring of Banks Customers by Mahmood i Alborz, Mohammad Ebrahim Mohammad Pourzarandi, mohammad khanbabaei

“…Genetic algorithm can help in credit scoring of customers by choosing appropriate features and building optimum decision trees. Development process in pattern recognition and CRISP process are used in credit scoring of customers in construction of this model. …”
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Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning by Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

“…Our findings suggest that these approaches may contribute to enhancing accuracy and reliability in the development of pattern identification tools.…”
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