Dynamic monitoring of fine-grained ecological vulnerability in dryland urban agglomeration integrating novel remote sensing index and explainable machine learning by Chunqiang Li, Shanchuan Guo, Qin Huang, Haowei Mu, Bo Yuan, Zilong Xia, Hong Fang, Wei Zhang, Pengfei Tang, Peijun Du

“…Results showed that DEVI effectively captured the surface ecological features, such as mobile sand, with high correlations (>0.79) to indicators. …”
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High spatial resolution crop type and land use land cover classification without labels: A framework using multi-temporal PlanetScope images and variational Bayesian Gaussian mixtu... by Minh Tri Le, Khuong H. Tran, Phuong D. Dao, Hesham El-Askary, Tuyen V. Ha, Taejin Park

“…Besides, the entropy comparison showed that our framework-based maps were better at capturing fine-scale features such as developed areas within cities that commonly mix with open space and vegetation, deforestation and cropland conversion in South America, smallholder croplands in Africa and Asia, and generating homogeneous crop fields in North America. …”
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An analytical delay model for multi-class and lane-free traffic condition. by Vinaya S Mattungal, Lelitha Devi Vanajakshi

“…Key features include assumption of random arrival and departure pattern as well as distribution, incorporation of Passenger Car Equivalent (PCE) and virtual lane concepts to account for the diverse vehicle classes and lane-free movement prevalent in Indian traffic. …”
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Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments by A. C. Kaladevi, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi

“…Though various recommendation techniques exist, there is a need to develop a unique technique for capturing latent factors and patterns from sparse and high-dimensional data in pervasive environments, specifically for optimizing dynamic recommendations. …”
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Integrating Gut Microbiome and Metabolomics with Magnetic Resonance Enterography to Advance Bowel Damage Prediction in Crohn’s Disease by Huang L, Meng J, Lin S, Peng Z, Zhang R, Shen X, Zheng W, Zheng Q, Wu L, Wang X, Wang Y, Mao R, Sun C, Li X, Feng ST

“…In this study, we aimed to develop a more accurate method for predicting bowel damage. …”
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The Role of Metaphorical and Ironic Structures in Representing Hidden Behavioral and Verbal Ideologies of Shahad Al-Rawi’s Novel The Baghdad Clock using Andrew Goatly’s Speech Act... by Ali sayadani, yazdan Heydarpour Marand

“…Introduction Speech act theory is among the theories that have played a role in the development and expansion of critical discourse analysis (CDA). …”
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Pulmonary arterial hypertension in systemic lupus erythematosus: identification of risk factors and haemodynamics characteristics in a multicentre retrospective cohort by Carlo Alberto Scirè, Alessandra Bortoluzzi, Micaela Fredi, Matthias Schneider, Veronica Codullo, Carlomaurizio Montecucco, Alain Meyer, Ilaria Cavazzana, Lorenzo Cavagna, Franco Franceschini, Andreas Schwarting, Konstantinos Triantafyllias, Gamal Chehab, Christina Düsing, Jutta Richter, Ettore Silvagni, Oliver Sander, Giovanni Zanframundo, Claudia Bracaglia, Matthieu Canuet, Stefano Ghio, Rebecca Fischer, Emiliano Marasco, Sezgin Sahin, Lisa Keller, Marianne Riou, Stefanie Keymel

“…Objectives The aim of our work was to identify specific patterns in clinical features and nailfold capillary changes that may help in screening for pulmonary arterial hypertension (PAH) in patients with systemic lupus erythematosus (SLE).Methods We identified patients with SLE and type I PAH (n=20) without other connective tissue diseases and collected demographic, clinical and laboratory features. …”
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Concrete Spalling Severity Classification Using Image Texture Analysis and a Novel Jellyfish Search Optimized Machine Learning Approach by Nhat-Duc Hoang, Thanh-Canh Huynh, Van-Duc Tran

“…To characterize concrete surface condition, image texture descriptors of statistical measurement of color channels, gray-level run length, and center-symmetric local binary pattern are used. Based on these texture-based features, the support vector machine classifier optimized by the jellyfish search metaheuristic is put forward to construct a decision boundary that partitions the input data into two classes of shallow spalling and deep spalling. …”
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BEST PRACTICE IN ENHANCING SOCIO-EMOTIONAL LEARNING IN PRIMARY SCHOOL THROUGH COMPUTATIONAL THINKING by Antoaneta-Firuţa TACEA, Anişoara DUMITRACHE, Beatrice ALMĂŞAN, Dana MANOLACHE

“…Computational thinking is a structured, cognitive process centered on decomposition, pattern recognition, and algorithm development, which is used for problem solving in a logical and organized manner. …”
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An Inverted Transformer Framework for Aviation Trajectory Prediction with Multi-Flight Mode Fusion by Gaoyong Lu, Yang Ou, Wei Li, Xinyu Zeng, Ziyang Zhang, Dongcheng Huang, Igor Kotenko

“…As globalization and rapid economic development drive a surge in air transportation demand, the need for enhanced efficiency and safety in flight operations has become increasingly critical. …”
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Numerical Investigations of Convective Initiation in Barbados by Kim Whitehall, Sen Chiao, Margarette Mayers-Als

“…Localized convection in Barbados accounts for hazardous conditions and a significant percentage of the island’s annual rainfall. The feature results in rainfall accumulations exceeding 50 mm in 3 hours or less, over isolated locations. …”
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A hybrid Bi-LSTM and RBM approach for advanced underwater object detection. by Manimurugan S, Karthikeyan P, Narmatha C, Majed M Aborokbah, Anand Paul, Subramaniam Ganesan, Rajendran T, Mohammad Ammad-Uddin

“…The model benefits from effective feature learning, aided by RBMs that enable the extraction of hierarchical and abstract representations. …”
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Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber by T. Nageshkumar, Prateek Shrivastava, L. Ammayapan, Manisha Jagadale, L. K. Nayak, D. B. Shakyawar, Indran Suyambulingam, P. Senthamaraikannan, R. Kumar

“…In this study, a total of 432 patterns of input and output parameters obtained from laboratory experiments were used to develop machine learning algorithms (Random forest, support vector, and XGBoost). …”
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Promotion or inhibition? Exploring the influence of the digital economy on urban-rural integration: A case study of yellow River basin by Mingxi Zhou, Fuyou Guo, Yongsheng Sun, Jiamin Ren, Xuebo Zhang

“…The findings reveal the following: 1) The degree of digital economy and urban-rural integration display a characteristic pattern resembling that of a downstream > midstream > upstream watershed, showcasing discernible spatial correlation features between them. 2) The digital economy in the Yellow River Basin directly fosters urban-rural integration development. …”
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Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…ResNet outperforms traditional methods by effectively mitigating the vanishing gradient problem, enabling deeper network training, enhancing feature extraction, and improving accuracy in complex pattern recognition tasks. …”
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Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study by Zilei Tian, Ziyang Ma, Beihong Dou, Xiaopeng Huang, Guangsen Li, Degui Chang, Tao Yin, Peihai Zhang

“…Furthermore, a classifier was developed based on a support vector classification algorithm and cortical morphological features to explore the feasibility of discriminating between pED patients and HC at an individual level. …”
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Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study by Yan Tong, Zhi Wen, Xin Huang

“…BackgroundThis study examined the interhemispheric integration function pattern in patients with iridocyclitis utilizing the voxel-mirrored homotopic connectivity (VMHC) technique. …”
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Helicobacter pylori infection at long-term treatment by proton pump inhibitors for acid-related diseases (Literature review and resolution of Advisory council, March 22, 2018) by V. T. Ivashkin, I. V. Mayev, R. A. Abdulkhakov, O. P. Alekseyeva, S. A. Alekseyenko, A. Yu. Baranovsky, Ye. K. Baranskaya, I. L. Klyaritskaya, N. V. Korochanskaya, Yu. A. Kucheryavy, T. L. Lapina, M. F. Osipenko, V. I. Simanenkov, G. N. Tarasova, A. S. Trukhmanov, I. B. Khlynov, A. A. Sheptulin

“…There is no relation of gastroesophageal reflux disease (GERD) symptom severity, the pattern of relapses and treatment efficacy to the presence or absence of H. pylori infection; successful H. pylori eradication does not cause relapse of pre-existing GERD and does not induce its development. …”
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Organizing nutrition of schoolchildren: problems and solutions by N. V. Tapeshkina, L. P. Pochueva, O. P. Vlasova

“…This may be associated with low socioeconomic status or inappropriate food consumption pattern, additionally affected by regional features. …”
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Non-invasive respiratory support in patients with severe community-acquired pneumonia by S. V. Korotchenko, D. I. Korabelnikov

“…However, after the analysis of the published studies it was noted that the pathophysiology of the development of ARF in COVID-19 had features that determine the atypical clinical pattern – “silent hypoxemia”. …”
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