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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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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Machine learning based identification of anoikis related gene classification patterns and immunoinfiltration characteristics in diabetic nephropathy by Jing Zhang, Lulu Cheng, Shan Jiang, Duosheng Zhu

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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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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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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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Modulation pattern recognition method of wireless communication automatic system based on IABLN algorithm in intelligent system. by Ting Xie, Xing Han

“…The aim of this study is to address the limitations of convolutional networks in recognizing modulation patterns. These networks are unable to utilize temporal information effectively for feature extraction and modulation pattern recognition, resulting in inefficient modulation pattern recognition. …”
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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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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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IMPLEMENTATION AND COMPARISON IN USING STATE PATTERN ON MAIN CHARACTER MOVEMENT (CASE STUDY : POCONG JUMP VIDEO GAME VERSION 1.0) by Sanriomi Sintaro, Deiby Tineke Salaky, Luther Alexander Latumakulita, Mahardika Inra Takaendengan, Bernard Bernard, Ade Surahman, Noorul Islam

“…Game development success is often hard to achieve due to various problems such as performance issues, malfunctioning features, and poorly organized program structure. …”
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Bibliometric analysis of current trends and emerging patterns in the application of nanomaterials for non-small cell lung cancer by Shanshan Cai, Weichang Yang, Hongquan Xing, Jiale Yang, Hongdan Luo, Xiaoqun Ye

“…We characterized the publication patterns, pinpointed the most influential nations, institutions, authors, journals, and hot topics related to nanomaterial applications in NSCLC, and proposed potential avenues for future development.…”
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Evaluation of metal objects surface parameters informativity using 2D­ and 3D­data For classification of fractures by V. A. Ganchenko, E. E. Marushko, L. P. Podenok, A. V. Inyutin

“…As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, macrogeometric descriptors of metal objects digitized by a 3D scanner are considered. …”
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LRU-Net: lightweight and multiscale feature extraction for localization of ACL tears region in MRI images by Xiaojun Si, Liang Yan, Cui Shi, Yang Xu

“…Furthermore, it employs a dynamic feature extraction module for adaptive multiscale feature extraction. …”
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Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data by Huakun Que, Zetao Jiang, Zhifeng Zhou, Yongsheng He, Xin Liu

“…Methods: High-dimensional metering data from a city energy provider is processed using a Convolutional Autoencoder (CAE) to extract deep features and reduce dimensionality. These features are then fed into a Cascaded Long Short-Term Memory (CLSTM) network, which identifies anomalous patterns in the data. …”
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Visualizing Relaxation in Wearables: Multi-Domain Feature Fusion of HRV Using Fuzzy Recurrence Plots by Puneet Arya, Mandeep Singh, Mandeep Singh

“…Among six evaluated classifiers, support vector machine (SVM) achieved the highest performance, with 96.6% accuracy and 100% specificity using only three selected features. Our approach offers both human-interpretable visual feedback through FRP and accurate automated detection, making it highly promising for objectively monitoring real-time stress and developing biofeedback systems in wearable devices.…”
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Prospects of using zein markers in breeding waxy maize lines and varieties by V. V. Sidorova, Yu. A. Kerv, G. V. Matveeva, A. V. Konarev

“…The present research pursued the following aims: to use zein elecrophoretic patterns (protein markers) in screening waxy maize landraces and lines for their identification and fingerprinting; to determine the biotype composition of landraces and their polymorphism and degree of relationship; and to demonstrate the possibility of applying zein markers in the development of new waxy maize inbred lines by backcrossing the wx1 gene into the initial dent maize line.Conclusions. …”
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Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

“…The framework leverages comprehensive feature engineering, utilizing MACCS keys to extract structural drug features and amino acid/dipeptide compositions to represent target biomolecular properties. …”
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