The optimized Maxent model reveals the pattern of distribution and changes in the suitable cultivation areas for Reaumuria songarica being driven by climate change by Xinyou Wang, Zhengsheng Li, Lijun Zhang, Yanlong Wang, Ying Liu, Yushou Ma

“…Results show that setting parameters to RM (regulation multiplier) = 4 and FC (feature combination) = LQHPT yields a model with good accuracy and high reliability. …”
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Trade-offs and synergies for urban Production-Living-Ecological spatial Patterns-Comparison study between Fuzhou, China, and Saskatoon, Canada by Xi Wang, Xiaomei Li, Jinming Sha, Hao Zhang, Eshetu Shifaw, Xulin Guo, Shuhui Lai, Jinliang Wang

“…Rapid industrialization and urbanization have significantly changed urban spatial patterns, resulting in the urban ecosystem degradation and urban spatial conflicts. …”
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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

“…Spatially, this disconnect can be categorized into three distinct types: the "polarized" pattern in the central city, the "experience enhancement" pattern in the Huadu, Panyu, Baiyun, and Conghua Districts, and the "insufficient supply" pattern in the Zengcheng, Huangpu, and Nansha Districts. …”
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INFLUENCE OF PSYCHOPHYSIOLOGICAL FACTORS OF ETHICAL RELATIONSHIP OF DRIVERS ON THE EFFICIENCY OF THE FREIGHT TRANSPORTATION IN INTERNATIONAL TRAFFIC by О. А. Tettsoeva

“…The main problems of international transportation are inefficient communications, the causes of which are the following: psychophysiological features of drivers’ work; lack of communication skills among drivers; lack of an international ethical code of conduct for drivers. …”
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DNA methylation valley as a distinguishing feature occurs in root-specific expressed nicotine-related genes in Nicotiana attenuata by Ahui Tong, Ahui Tong, Bingwu Wang, Jinsong Wu

“…It remains unknown whether DNA methylation pattern of nicotine-related genes differs in root and leaf tissues. …”
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An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition by Shixin Huo, Na Duan, Zhizheng Xu

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Quantitative characterization of geomorphological and topographical features of debris-flow channels at the Alpe di Succiso mountain, Northern Apennines (Italy) by Muhammad Ahsan Rashid, Giovanni Leonelli, Alessandro Chelli

“…Within each class, multiple ranking criteria were employed for the identification of channels showing anomalous or common patterns. Debris flow channels exhibit anomalous patterns in the geomorphometric parameters, indicating significant variations in their topographical characteristics..…”
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Gross histopathological features and treatment outcomes of ameloblastoma at Khartoum teaching dental hospital: A retrospective cross-sectional study by Saba Eltayeb Mohammed Ahmed, Nourelhoda Alim, Fatema Akhter, Tahsinul Haque, Mohamed Abdelwahab Higzi, Raghad Abdullah Altassan, Aseel Tariq Aboaljadayel, Mohammed Saad Alqarni, Sally Elhaddad, Tasnia Habib, Turki Thaar AlQahtani, Nuha Abdalla Osman Mustafa, Abdullah Alanazi

“…Maximum of approximately 68.46% (n = 267) patients presented with a painless swelling involving the mandible. Follicular pattern was the most predominant histopathological pattern 44.87% (n = 175) followed by plexiform pattern, accounted for 32.82% (n = 128) but in the recurrent cases, there was a relatively higher number of plexiform patterns 11.54% (n = 45), unlike other histopathological patterns. …”
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Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning by Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii

“…Using pre-trained CNNs allows us to extract rich feature representations without the need for large, specialized training datasets, effectively capturing intricate patterns in the microstructures. …”
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Utilizing machine and deep learning algorithms to identify learning-related features in electroencephalography data during second language acquisition by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Mohammed Tawfik

“…This study investigates EEG-based neurolinguistic patterns during the process of learning Arabic and Hindi as second languages. …”
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Unpacking linguistic features in EFL textbooks using systemic functional linguistics: Transitivity, Mood, and nominal group structure analysis by Hieronimus Canggung Darong, Maksimus Regus

“…This framework can be used to examine linguistic features and discourse patterns of the EFL textbooks. …”
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Clinical and imaging features of parenchymal and non-parenchymal neuro-Behçet’s disease: a systematic review of case reports and series by Omar Al-omoush, Majd M. AlBarakat, Deya’a Alasmar, Ali Al-Khalaileh, Ahmad Alzoubi, Husam Tarakhan, Zaid Shakhatreh, Zaid Hatamleh, Mohammed Abu-saleh, Othman Saleh, Abdalrahman Altiti, Wafa’ A. Hazaymeh, Sakhr Alshwayyat, Hamdah Hanifa, Ethar Hazaimeh

“…Recognizing these patterns can help diagnose and treat the disease earlier.…”
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Clinical Features of Type B Insulin Resistance in Japanese Patients: Case Report and Survey-Based Case Series Study by Yusuke Hirota, Hirotsugu Suwanai, Toshimasa Yamauchi, Takashi Kadowaki

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High-performance glass classification using advanced machine learning and deep learning algorithms with a comprehensive feature analysis by Mohammed Bouziane, Abdelghani Bouziane, Samia Larguech, Khatir Naima, Mohammad Salman Haque, Younes Menni

“…Findings prove RF and XGBoost to provide the highest classification accuracy, and BiLSTM to be the best in recognizing complex data patterns. Feature importance analysis pinpoints significant features and identifies magnesium and barium among those used to distinguish between glass types. …”
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Risk Factors and Vascular Features Associated With Local Recurrence in Pancreatic Cancer Post‐Pancreaticoduodenectomy: A Retrospective Cohort Study by Ting‐Kai Liao, Ying Jui Chao, Wei‐Hsun Lu, Ping‐Jui Su, Chih‐Jung Wang, Yan‐Shen Shan

“…This study highlights potential risk factors, recurrence patterns, and associated vascular features for early identification. …”
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Features of the modelled stress-strain state dynamics prior to the M7.1 2019 Ridgecrest earthquake in Southern California by Bondur V., Gokhberg M., Garagash I., Alekseev Dmitry Aleksandrovich

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Weighing temporal fluctuations of drought features in Rwanda through the implementation of the standardized precipitation evapotranspiration index and standardized precipitation in... by Kazora Jonah, Zhu Weijun, Kyaw Oo Than, Temesgen Gebremariam Asfaw, Emmanuel Adu Gyamfi Kedjanyi, Abraham Okrah, Akimana Diane, Mathieu Mbati Mugunga

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An object-based spectral and elevation feature fusion framework for landslide mapping using time-series Landsat-8 imagery by Tsung-Han Wen, Tee-Ann Teo

“…The methodology employs multiresolution segmentation with a fusion of spectral and topographic features, enabling the model to capture complex patterns and improve segmentation quality. …”
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The beginnings of vernacular scientific discourse: genres and linguistic features in some early issues of the Journal des Sçavans and the Philosophical Transactions by David BANKS

“…This article looks in detail at some of the linguistic features of one issue of the Journal des Sçavans (9 March 1665), and one issue of the Philosophical Transactions (3 July 1665). …”
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Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks by Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Vaishali H. Kamble

“…To address these issues, we propose the Ensemble of Deep Learning Models with Prediction Scoring-based Optimized Feature Sets (EDLM-PSOFS). Our approach begins with data preprocessing utilizing MissForest imputation and label one-hot encoding, effectively managing incomplete and categorical data.For feature selection, we employ the Median-based Shapiro-Wilk test alongside Correlation-Adaptive LASSO Regression (CALR) to ensure robust feature extraction. …”
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