The PARPscore system using poly (ADP-ribose) polymerase (PARP) family features and tumor immune microenvironment in glioma by Cheng Zhang, Juan Feng, Xia Zhou, Jie Zhang, Chuming Tao, Hongwei Zhou

“…Our findings revealed three distinct PARPs modification patterns, each correlated with unique TME infiltration characteristics and tumor immunophenotypes. …”
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netQDA: Local Network-Guided High-Dimensional Quadratic Discriminant Analysis by Xueping Zhou, Wei Chen, Yanming Li

“…Extensive simulations and real data applications demonstrate its superior performance in both feature selection and outcome classification compared to commonly used discriminant analysis methods.…”
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Remote sensing-based analysis of yield and water-fertilizer use efficiency in winter wheat management by Weiguang Zhai, Qian Cheng, Fuyi Duan, Xiuqiao Huang, Zhen Chen

“…Subsequently, the effects of different water and fertilizer treatments on winter wheat yield and water-fertilizer use efficiency were evaluated, and the response patterns between winter wheat spectral features (normalized difference vegetation index, NDVI) and texture features (Contrast) and yield and water-fertilizer use efficiency were analyzed. …”
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An enhanced classification system of various rice plant diseases based on multi-level handcrafted feature extraction technique by Yasmin M. Alsakar, Nehal A. Sakr, Mohammed Elmogy

“…Moreover, more information can be extracted from the input images due to different feature extraction techniques. This paper proposes a new system for detecting and classifying rice plant leaf diseases by fusing different features, including color texture with Local Binary Pattern (LBP) and color features with Color Correlogram (CC). …”
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SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

“…Finally, we utilize a depthwise separable convolution block to extract features from power load data, which efficiently captures the pattern of change in load. …”
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Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction. by Noshaba Qasmi, Rimsha Bibi, Sajid Rashid

“…Their conical shells are remarkably similar to those of other invertebrates in terms of color, pattern, and size. For these reasons, assigning taxonomic signatures to cone snail shells is a challenging task. …”
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Grouped semantic-feature relation extraction from texts to represent medicinal-plant property knowledge on social media by Chaveevan Pechsiri, Intaka Piriyakul, Joseph Santhi Pechsiri

“…This research aims to extract a grouped semantic-feature relation, particularly a PlantPart-MedicinalPropertyGroup relation which is a semantic relation between an element of a plant-part concept set and a group of medicinal-property concept features of various herbs or medicinal plants, including indigenous medicinal plants, to graphically represent medicinal-plant property knowledge from documents available on pharmacy academic websites. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…However, achieving real-time processing of VO using a stereo camera on embedded CPUs and GPUs is challenging due to the high computational demands and irregular computational patterns. These irregular patterns arise from the dynamic and non-uniform nature of feature detection, stereo matching, and map management, which vary significantly with scene complexity and camera movement. …”
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Machine learning combined multi-omics analysis to explore key oxidative stress features in systemic lupus erythematosus by Hongwei Zhou, Xiaoqing Li, Yanyu Zhang, Feng Wei, Zhiyu Liu, Yan Zhao, Xubo Zhuang, Xia Liu, Haizhou Zhou

“…This study explores critical oxidative stress (OS) features and their interrelationships in SLE pathogenesis.MethodsThree transcriptomic datasets from the Gene Expression Omnibus (GEO) were analyzed to identify SLE- and OS-associated pathways via Gene Set Variation Analysis (GSVA). …”
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Demographic, Clinical Features and Outcome Determinants of Thoracic Trauma in Sri Lanka: A Multicentre Prospective Cohort Study by Yasith Mathangasinghe, Iddagoda Hewage Don Saman Pradeep, Dhammike Rasnayake

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Distribution, fishery and some features of biology for Sclerocrangon salebrosa and Argis lar (Caridea, Crangonidae) in the northwestern Okhotsk Sea by D. N. Yuriev, V. S. Lukyanov, A. Yu. Povarov

“…State of the fishery and distribution patterns of S. salebrosa and A. lar in the northwestern Okhotsk Sea are investigated on the data collected by the authors aboaed commercial fishing vessels and in the accounting trawl survey conducted aboard RV Dmitry Peskov in summer of 2019, as well as some features of their biology are considered. …”
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Clinical and neurophysiological features of the hereditary neuropathy with liability to pressure palsy due to the 17p11.2 deletion by Aline Pinheiro Martins de Oliveira, Raquel Campos Pereira, Patrícia Toscano Onofre, Vanessa Daccach Marques, Gilberto Brown de Andrade, Amilton Antunes Barreira, Wilson Marques Junior

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Surface urban heat island distribution and socioeconomic inequalities in a major Latin American agglomeration by Jorge Méndez-Astudillo, Ernesto Caetano

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Morphological and structural features of the CdxPb1−xS films obtained by CBD from ethylenediamine-citrate bath by A. D. Kutyavina, L. N. Maskaeva, V. I. Voronin, I. A. Anokhina, V. F. Markov

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Influence of Ocean Current Features on the Performance of Machine Learning and Dynamic Tracking Methods in Predicting Marine Drifter Trajectories by Huan Lin, Weiye Yu, Zhan Lian

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Prenatal Ultrasound and Magnetic Resonance Imaging Features and Postnatal Outcomes of Congenital Hepatic Hemangioma: A Retrospective Analysis by Luyao Yang, Jianbo Teng, Xinhong Wei

“…This study aimed to explore the ultrasound and magnetic resonance features, growth patterns, and clinical outcomes of CHH. …”
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Micro-XCT analysis of anatomical features and dimensions of the incisive canal: implications for dental implant treatment in the anterior maxilla by Vladimir S. Todorovic, Mia-Michaela Beetge, Judy Kleyn, Jakobus Hoffman, Andre W. van Zyl

“…Furthermore, these anatomical features are compared between various racial and gender groupings in the study. …”
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Phenotyping Nontuberculous Mycobacterial Lung Disease: Comparative Analysis of Clinical and Imaging Features in a TB-Endemic Setting by Feng Y, Guo J, Luo S, Zhang Z

“…Yinping Feng, Jing Guo, Shuirong Luo, Zunjing Zhang Department of Tuberculosis, Lishui Hospital of Traditional Chinese Medicine Affiliated to Zhejiang University of Traditional Chinese Medicine, Lishui Tuberculosis Clinical Medical Research Center, Lishui, Zhejiang, People’s Republic of ChinaCorrespondence: Zunjing Zhang, Email zjzhang1979@126.comObjective: To systematically analyze clinical features and imaging characteristics of nontuberculous mycobacterial pulmonary disease (NTM-PD) patients in a tuberculosis specialty setting, establishing diagnostic and management references.Methods: We conducted a retrospective analysis of 204 NTM-PD cases admitted to our tuberculosis department from January 2018 to December 2023, evaluating clinical manifestations, mycobacterial speciation, and radiological patterns.Results: The cohort comprised 118 males and 86 females (mean age 65.34 ± 13.23 years), predominantly rural residents (63.24%). …”
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Exploring Voice Acoustic Features Associated with Cognitive Status in Korean Speakers: A Preliminary Machine Learning Study by Jiho Lee, Nayeon Kim, Ji-Wan Ha, Kyunghun Kang, Eunhee Park, Janghyeok Yoon, Ki-Su Park

“…Several acoustic features emerged as potentially important indicators, with DDA shimmer from the /i/ task and stdevF0 from the /puh-tuh-kuh/ task showing consistent patterns across classification tasks. …”
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Comprehensive Performance Comparison of Signal Processing Features in Machine Learning Classification of Alcohol Intoxication on Small Gait Datasets by Muxi Qi, Samuel Chibuoyim Uche, Emmanuel Agu

“…Statistical features yielded the highest accuracy (83.89%), followed by time-domain (83.22%) and frequency-domain features (82.21%). …”
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