Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…Then, feature selection is performed to determine the key factors. …”
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Deciphering hypoxia’s role in hepatocellular carcinoma prognosis with single-cell approaches by Jun Liang, Di Chen, Huiyu Liang

“…To probe the effects of hypoxia on HCC invasion, we developed the Cell Hypoxia-Related Prognostic Feature (CHPF). …”
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THE ESSENCE OF AN IMAGE IN ENGLISH-AMERICAN IMAGISM: SINGULAR VERSUS UNIVERSAL by Yevheniya S. Chernokova.

“…Hulme) the images still preserve the inner affinity with the signified objects (concepts) as seen in Romantic and Symbolic image “patterns”. And throughout Imagism development, this inner affinity is being weakened until a distant outer resemblance is left. …”
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Research Status and Direction of Chronic Obstructive Pulmonary Disease Complicated with Coronary Heart Disease: A Bibliometric Analysis from 2005 to 2024 by Bian H, Zhu S, Xing W, Qi L, Xue J, Peng X, Jin Z, Zhao H

“…Through keyword clustering analysis, we categorized all keywords into three distinct groups: management strategies for COPD and CHD; diseases associated with both conditions; and epidemiological characteristics concerning their burden—current hotspots include multimorbidity factors such as hypertension and obesity alongside outcomes like diagnosis during COVID-19 pandemic implications within societal contexts are highlighted here too.Conclusion: Presently focused research on COPD coupled with CHD primarily revolves around five key areas: pathogenesis exploration, early diagnostic techniques, COVID-19 infection, dynamics intervention, methodologies, and treatment protocol development efforts. To improve the early detection rate of COPD complicated with CHD, the main development direction in the future is to extract computed tomography (CT) features using imaging omics and establish an early prediction model. …”
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Difficult-to-treat psoriatic arthritis: refining the definition using a statistical model in a real-life cohort by Ennio Giulio Favalli, Ennio Giulio Favalli, Giacomo Biganzoli, Gilberto Cincinelli, Gilberto Cincinelli, Matteo Ferrito, Matteo Ferrito, Ester Luconi, Maria Manara, Martina Biggioggero, Patrizia Boracchi, Patrizia Boracchi, Roberto Caporali, Roberto Caporali

“…In addition, we aimed to establish a numerical index defining D2T-PsA based on the ratio of observed to expected failed b/tsDMARDs and to develop a predictive model identifying features associated with the D2T condition.MethodsThe study included 267 consecutive adult PsA patients receiving b/tsDMARDs, collecting demographic, clinical, and clinimetric data. …”
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Simulation of single-species bacterial-biofilm growth using the Glazier-Graner-Hogeweg model and the CompuCell3D modeling environment by Nikodem J. Poplawski, Abbas Shirinifard, Maciej Swat, James A. Glazier

“…In our simulations, which generalize the PLHmodel by treating cells as spatially extended, deformable bodies, differentialadhesion between cells, and their competition for a substrate (nutrient), sufficeto produce a fingering instability that generates the finger shapes of biofilms.Our results agree with most features of the PLH model, although our inclu-sion of cell adhesion, which is difficult to implement using other modelingapproaches, results in slightly different patterns. …”
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Cell Death and Senescence‐Based Molecular Classification and an Individualized Prediction Model for Lung Adenocarcinoma by Pan Wang, Chaoqi Zhang, Peng Wu, Zhihong Zhao, Nan Sun, Qi Xue, Shugeng Gao, Jie He

“…The CDS index (CDSI), derived from principal component analysis, was developed to assess individual tumor CDS regulation patterns. …”
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Tectonic geomorphological evidence of late Quaternary segmented activity along the northern margin fault of Lajishan by ZHANG Lijun, YUAN Daoyang, LI Hongqiang, SU Qi, SU Ruihuan, CHEN Yanwen, WEN Yameng

“…HI spatial distribution patterns along the North Lajishan fault show multiple high-value zones within piedmont basins. …”
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INTRODUCTION by Ken HYLAND, Octavia-Raluca ZGLOBIU-SANDU, Andrada FĂTU-TUTOVEANU

“…Languages for Specific Purposes is an approach to language education based on identifying the specific language features, discourse practices, and communicative skills of target groups, while recognizing the subject-matter needs and expertise of learners (Hyland, 2018). …”
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Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…Yet, predicting the correct sentiment difference in customer feedback is challenging due to complicated logic, sequence length, and text pattern adjustments. This article focuses on designing and developing Enhanced NLP with Data-driven Product Reviews Classification using the improved chaotic fruit fly optimization (ENLPPR-ICFFO) method. …”
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Knowledge Graph-Augmented ERNIE-CNN Method for Risk Assessment in Secondary Power System Operations by Xiang Huang, Ping Li, Ye Wang, Xuchao Ren, Zhenbing Zhao, Gang Li

“…Second, an improved ERNIE-CNN model is developed, incorporating an attention mechanism to effectively fuse semantic features and spatial patterns from operational texts. …”
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From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

“…Finally, automated classification (e) refers to the process of developing a predictive model that assigns input features of data samples to predefined categories or classes using supervised ML. …”
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An enhanced fusion of transfer learning models with optimization based clinical diagnosis of lung and colon cancer using biomedical imaging by N. A. S. Vinoth, J. Kalaivani, R. Madonna Arieth, S. Sivasakthiselvan, Gi-Cheon Park, Gyanendra Prasad Joshi, Woong Cho

“…Furthermore, fusion models such as CapsNet, EffcientNetV2, and MobileNet-V3 Large are employed for the feature extraction. The FTLMO-BILCCD technique implements a hybrid of temporal pattern attention and bidirectional gated recurrent unit (TPA-BiGRU) for classification. …”
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Computed tomography radiomics to predict microsatellite instability status and immunotherapy response in gastric cancer by Zhou Li, Zixuan Ding, Yongping Lian, Yongqing Liu, Lei Wang, Pengbo Hu, Fangyuan Zhang, Yan Luo, Hong Qiu

“…Abstract Objectives To develop and validate a CT radiomics model for predicting microsatellite instability (MSI) status in preoperative gastric cancer (GC) patients and to explore the underlying immune infiltration pattern of the radiomics model. …”
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A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

“…The findings reveal that the existing researches utilize different ML models, features, and detection techniques, including static, dynamic, and hybrid approaches. …”
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A dual-core model for ENSO diversity: unifying model hierarchies for realistic simulations by Jinyu Wang, Xianghui Fang, Nan Chen, Bo Qin, Mu Mu, Chaopeng Ji

“…Meanwhile, the nonlinear model assimilates pseudo-observations from the stochastic model while resolving key air-sea interactions, such as oceanic feedback balances and spatial patterns of sea surface temperature anomalies during El Niño peaks. …”
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Joint Planning of Renewable Energy and Electric Vehicle Charging Stations Based on a Carbon Pricing Optimization Mechanism by Shanli Wang, Bing Fang, Jiayi Zhang, Zewei Chen, Mingzhe Wen, Huanxiu Xiao, Mengyao Jiang

“…The integration of renewable energy and electric vehicle (EV) charging stations into distribution systems presents critical challenges, including the inherent variability of renewable generation, the complex behavioral patterns of EV users, and the need for effective carbon emission mitigation. …”
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Dichotomous intronic polyadenylation profiles reveal multifaceted gene functions in the pan-cancer transcriptome by Jiao Sun, Jin-Young Kim, Semo Jun, Meeyeon Park, Ebbing de Jong, Jae-Woong Chang, Sze Cheng, Deliang Fan, Yue Chen, Timothy J. Griffin, Jung-Hee Lee, Ho Jin You, Wei Zhang, Jeongsik Yong

“…The application of this workflow to RNA-seq data from The Cancer Genome Atlas demonstrated that this dichotomous intronic APA pattern is a consistent feature in transcriptomes across both normal tissues and various cancer types. …”
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3D-GloBFP: the first global three-dimensional building footprint dataset by Y. Che, X. Li, X. Liu, X. Liu, Y. Wang, W. Liao, X. Zheng, X. Zhang, X. Xu, Q. Shi, J. Zhu, H. Zhang, H. Zhang, H. Yuan, H. Yuan, Y. Dai, Y. Dai

“…Our approach integrated multisource remote-sensing features and building morphology features to develop height estimation models using the extreme gradient boosting (XGBoost) regression method across diverse global regions. …”
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Comparative and phylogenetic analyses using mitogenomes revealed gene re-arrangement of Boletaceae (Boletales) by Xianyi Wang, Jiawei Tao, Zhongyao Guo, Guoyu Wang, Guangyin Xu, Yaping Wang, Yaohang Long, Hongmei Liu

“…Thus, a comparative analysis of the mitogenomic features of seven Boletaceae species, representing seven distinct genera, was conducted. …”
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