The Impact of Childhood Abuse and Neglect on the Development of Features of Polycystic Ovary Syndrome: A Pilot Study by Akanksha Misra, Olivia Wolfe, Ricardo Azziz

“…Objective: To determine associations of childhood emotional and physical abuse and neglect with the incidence of menstrual irregularity, male pattern hair growth, and possible PCOS. Design: Cross-sectional Study at University. …”
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The specific features of the diagnosis and treatment of coronary heart disease in rheumatoid arthritis (Results of the authors’ studies) by Natalya Anatolyevna Khramtsova, E V Trukhina

“…Objective: to study the incidence, pattern, and specific features of CHD in patients with RA. …”
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Real-Time Long-Wave Infrared Semantic Segmentation With Adaptive Noise Reduction and Feature Fusion by Haejun Bae, Dong-Goo Kang, Minhye Chang, Kye Young Jeong, Byung Cheol Song

“…However, LWIR images often suffer from inherent pattern noise (known as fixed-pattern noise) and ambiguous object boundaries that hinder accurate segmentation. …”
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Dipole reversal: an ictal feature in a patient with benign partial epilepsy of childhood with centrotemporal spike by Délrio F. Silva, Márcia Marques Lima, Renato Anghinah, Edma R Zanoteli, José Geraldo C. Lima

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The impact of capital investments on dairy processing industry features: evidence from Slovenia, Croatia and Serbia by Saša Muminović, Željana Aljinović Barać

“…In East European transitional countries, a specific pattern of changes could be noticed. Those changes have usually begun with foreign direct investments, whereupon acquisitions, concentration and consolidation are followed. …”
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Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis by Yunhua Yu, Haitao Shi, Lifei Mi

“…Three feature extraction methods of sucker-rod pump indicator card data have been studied, simulated, and compared in this paper, which are based on Fourier Descriptors (FD), Geometric Moment Vector (GMV), and Gray Level Matrix Statistics (GLMX), respectively. …”
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Spectrogram-Based Arrhythmia Classification Using Three-Channel Deep Learning Model with Feature Fusion by Alaa Eleyan, Fatih Bayram, Gülden Eleyan

“…This spectrogram is further processed to generate a histogram of oriented gradients (HOG) and local binary pattern (LBP) features. Three separate 2D convolutional neural networks (CNNs) then analyze these three image representations in parallel. …”
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Hybrid Transform-Based Feature Extraction for Skin Lesion Classification Using RGB and Grayscale Analysis by Luis Felipe López-Ávila, Josué Álvarez-Borrego

“…Texture information for each channel is also obtained based on the Local Binary Pattern (<i>LBP</i>) technique. The proposed hybrid transform-based feature extraction was applied to multiple lesion classes using the International Skin Imaging Collaboration (ISIC) 2019 dataset, preprocessed with data augmentation. …”
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Evaluation of Applying Urban Features Design Guides Concerning their Environmental Impact Inside Residential Complexes by Binaee Yaseen Raof*

“…In this paper, through analyzing previous studies, the impacts of each of the urban features of open spaces (aspect ratio, orientation of street pattern, density, and spacing ratio) on both energy consumption and outdoor thermal comfort are introduced. …”
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Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures by Edwin Salcedo

“…This paper reports the state of the art in gait data acquisition modalities, feature representations, models, and architectures for CVGR systems suitable for edge computing. …”
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Case series of Pityriasis lichenoides in the post-COVID era: Clinical features and response to erythromycin monotherapy by Eddula Venkata Ravikanth, Chinni Sai Sahithi, C Sravana Deepthi, M Arun Kumar, Sirshendu Chaudhuri, K H Sneha

“…This article presents a case series of PL patients diagnosed in the post-COVID era, detailing their clinical features and treatment responses. Notably, all patients in this series responded favorably to erythromycin monotherapy. …”
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Risk factors and features of recurrent bacterial complications of upper respiratory tract viral infections in children. by A. V. Karpenko

“…The aim of the study was to determine risk factors for recurrent bacterial complications of the upper respiratory tract viral infection (URTI) in children, as well as the clinical and immunological features of the course of such complications. We enrolled 214 children aged 3-18 years with URTIs complicated with acute otitis media or acute bacterial rhinosinusitis. …”
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The Detection and Classification of Grape Leaf Diseases with an Improved Hybrid Model Based on Feature Engineering and AI by Fatih Atesoglu, Harun Bingol

“…The most well-known convolutional neural network (CNN) architectures, texture-based Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) methods, Neighborhood Component Analysis (NCA), feature reduction methods, and machine learning (ML) techniques are the methods used in this article. …”
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The Clinical Features and Helicobacter pylori Eradication Therapy in Lymphofollicular Gastritis: A Single Center Experience by Hong Ju An, Nam Hun Lee, Chung Kang, Ho Young Song, Joon Seung Yang, Eun Jeong Kim, Young Ho Seo

“…Background/Aims: Lymphofollicular gastritis (LFG) is defined as antral gastritis with endoscopic findings characterized by a miliary pattern resembling “goose flesh”. We aimed to analyze the clinical features of LFG and the utility of Helicobacter pylori eradication therapy in LFG. …”
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A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data by Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu

“…This approach enables the extraction of general shape features applicable to both line and polygon elements, generating high-dimensional embedded feature vectors. …”
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Research on Fault Feature Extraction Method for Hydroelectric Generating Unit Based on Improved FMD and CDEI by Tao Wu, Haipeng Gong, Zaiming Geng, Jian Deng, Fang Yuan

“…The essence of fault diagnosis for hydroelectric generating units is pattern recognition. To achieve high recognition accuracy, it is necessary to maximize the distinguishability of different fault features. …”
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Adaptive Multi-Radar Anti-Bias Track Association Algorithm Based on Reference Topology Features by Shaoming Wei, Xuan Zhou, Jun Wang, Rui Pang, Xueqing Li, Qiang Liu

“…The multi-radar adaptive RET algorithm employs the Optimal Sub-Pattern Assignment (OSPA) metric, which is corrected for offset bias, to measure the distance among RETs, thus generating an association cost matrix. …”
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Association between clinical outcomes, peripheral blood and cytomorphologic features of bone marrow in visceral leishmaniasis by Maria Aline Ferreira De Cerqueira, Alaíde Maria Rodrigues Pinheiro, Dorcas Lamounier Costa, Carlos Henrique Nery Costa

“…Our study aimed to compare the CBC with bone marrow cytomorphological features and their association with clinical outcomes to clarify this relevant issue. …”
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Investigation of gas natural separation process unsteady features by means of an experimental rig and mathematical modeling by V. A. Ivanov, V. S. Verbitsky, R. A. Khabibullin, K. A. Goridko, E. I. Nikonov

“…It is revealed that at small time intervals (&lt;1 s) the regimes with slug-churn flow pattern are characterized by significant nonstationarity. …”
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Computed Tomography (CT) Imaging Features of Patients with COVID-19: Systematic Review and Meta-Analysis by Ephrem Awulachew, Kuma Diriba, Asrat Anja, Eyob Getu, Firehiwot Belayneh

“…Frequent involvement of bilateral lung infections, ground-glass opacities, consolidation, crazy paving pattern, air bronchogram signs, and intralobular septal thickening were common CT imaging features of patients with COVID-19 pneumonia.…”
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