Development and Validation of Predictive Models for Differentiating Resectable Stage III Peripheral SCLC from NSCLC Using Radiomic Features and Clinical Parameters by Junjie Zhang MD, Ligang Hao MD, Qiuxu Zhang MD, Lina Zheng MD, Qian Xu PhD, Fengxiao Gao MD

“…Conclusion The integration of clinical parameters and radiomics features within the combined model may hold significant potential for the preoperative differentiation of stage III peripheral SCLC from NSCLC.…”
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18F-FDG PET/CT metabolic parameters are correlated with clinical features and valuable in clinical stratification management in patients of castleman disease by Guolin Wang, Qianhe Xu, Yinuo Liu, Huatao Wang, Fei Yang, Zhenfeng Liu, Xinhui Su

“…This study is to evaluate the correlation between 18F-flurodeoxyglucose (18F-FDG) positron emission tomography-computed tomography (PET/CT) and clinical features in CD patients, and exploring its value in distinguishing disease severity and assisting in risk stratification. …”
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Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

“…This study employs computer vision and deep learning techniques to execute the refined extraction and quantification of rock mass information in tunnel faces. …”
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Computational studies of the rotors aerodynamic characteristics of multirotor drones by K. G. Kosushkin, B. S. Kritsky, R. M. Mirgazov

“…Depending on the mode and rotors location, the average rotor thrust coefficient can vary approximately twice. The computations showed that with the similar geometric parameters and kinematics characteristics, rotors thrust is substantially subject to variation, which causes destabilizing moments to a significant degree without additional control input. …”
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Computing Genomic Signatures Using de Bruijn Chains by Lenwood S. Heath, Amrita Pati

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CURRENT STATE AND PROSPECTS OF COMPUTER TERMINOLOGY ONLINE LEXICOGRAPHY by Iryna B. Mentynska

“…A number of modern online lexicographic sources that record computer terms are analyzed, their features from the point of view of practical application are noted, and the most current trends related to modern lexicography processes are highlighted. …”
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Spontaneous Ad Hoc Mobile Cloud Computing Network by Raquel Lacuesta, Jaime Lloret, Sandra Sendra, Lourdes Peñalver

“…Smart devices are becoming one of the main information processing devices. Their computing features are reaching levels that let them create a mobile cloud computing network. …”
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Cone-beam computed tomography prescription by Brazilian orthodontists by Karine EVANGELISTA, Grasielle Di Manoel CAIADO, Maria do Carmo Matias FREIRE, José VALLADARES-NETO, Maria Alves Garcia SILVA

“…ABSTRACT Objective: To investigate the factors that influence Cone-beam computed tomography (CBCT) imaging prescription in Brazilian orthodontics practice. …”
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Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

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The Cart-Pole Application as a Benchmark for Neuromorphic Computing by James S. Plank, Charles P. Rizzo, Chris A. White, Catherine D. Schuman

“…Finally, we perform a detailed examination of eight example networks from this experiment, that achieve our goals on the difficulty levels, and comment on features that enable them to be successful. Our goal is to help researchers in neuromorphic computing to utilize the cart-pole application as an effective benchmark.…”
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Predicting epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients through logistic regression: a model incorporating clinical charac... by Jimin Hao, Man Liu, Zhigang Zhou, Chunling Zhao, Liping Dai, Songyun Ouyang

“…This study presents a predictive model integrating clinical parameters, computed tomography (CT) characteristics, and serum tumor markers to forecast EGFR mutation status in NSCLC patients. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

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Features of the magnetorefractive effect in Co–Si nanocomposites by A. N. Yurasov, R. Kulgunina, M. M. Yashin, M. A. Simdyanova

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COVID-19 biobank: features of the cytokine profile by N. N. Sushentseva, O. S. Popov, S. V. Apalko, A. Yu. Anisenkova, S. V. Azarenko, K. V. Smantserev, D. N. Khobotnikov, T. V. Gladysheva, E. V. Minina, S. V. Strelyukhina, S. P. Urazov, D. Pavlovich, S. R. Fridman, S. G. Shcherbak

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LGWheatNet: A Lightweight Wheat Spike Detection Model Based on Multi-Scale Information Fusion by Zhaomei Qiu, Fei Wang, Tingting Li, Chongjun Liu, Xin Jin, Shunhao Qing, Yi Shi, Yuntao Wu, Congbin Liu

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Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…We conducted an in-depth exploration of the use of different machine learning (ML) for regression algorithms, including Linear, Ridge, LASSO, Bayesian Ridge, Decision Tree, and a variety of Deep Neural Network (DNN) architectures, to estimate the slope of the high-frequency feature (HFF), a prominent emergent feature found in the gravitational wave (GW) signals of core collapse supernovae (CCSN). …”
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A Comparative Study of Advanced Transformer Learning Frameworks for Water Potability Analysis Using Physicochemical Parameters by Enes Algül, Saadin Oyucu, Onur Polat, Hüseyin Çelik, Süleyman Ekşi, Faruk Kurker, Ahmet Aksoz

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Phylodynamic inference and model assessment with approximate bayesian computation: influenza as a case study. by Oliver Ratmann, Gé Donker, Adam Meijer, Christophe Fraser, Katia Koelle

“…The first model captures antigenic drift phenomenologically with continuously waning immunity, and the second epochal evolution model describes the replacement of major, relatively long-lived antigenic clusters. Combining features of long-term surveillance data from The Netherlands with features of influenza A (H3N2) hemagglutinin gene sequences sampled in northern Europe, key phylodynamic parameters can be estimated with ABC. …”
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Predicting Cervical Lymph Node Metastasis Using Preoperative Multiparameter Data Based on Imaging, Serology, and Clinical Features in Unifocal Papillary Thyroid Carcinoma by Junlin HE, Wenjing CHEN, Lili HU, Yongsheng WANG, Jing CHEN, Ming WU

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