Application of machine learning in identifying risk factors for low APGAR scores by Haifa Fahad Alhasson, Nagat Elhag, Shuaa Saleem Alharbi, Ishag Adam

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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

“… Nowadays the amount of gathered raw data emphasizes the importance of further data processing done by skilled engineers aided by computer algorithms. Researchers develop new algorithms for the automated determination of geometrical features, such as symmetry and main axes, skeleton lines, etc. …”
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Prediction of Pulmonary Hypertension in Patients with Diffuse Parenchymal Lung Disease using Forced Vital Capacity/ Diffusion Capacity of Lung using Carbon Monoxide Ratio: A Cross-... by Anubhab Moulik, Jaydip Deb, Sourindra Nath Banerjee, Priyanka Ray, Pulak Kumar Jana, Sukanta Kodali, Saswata Ghosh

“…The diagnosis of DPLD is based on clinical presentation and radiological features. The initial diagnostic work-up includes Pulmonary Function Tests (PFT), such as spirometry and diffusion tests. …”
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A binary grasshopper optimization algorithm for solving uncapacitated facility location problem by Ahmet Babalik, Aybuke Babadag

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Defect-modulation in α-Ga2O3 molecular beam epitaxial photodetector investigated through pulsed-light persistent-photoconductivity by Hongliang Chang, Yanqing Jia, Abdullah Alquwayzani, Xu Zhang, Redha H. Al Ibrahim, Mohamed Ben Hassine, Dalaver H. Anjum, Qingxiao Wang, Mohamed Nejib Hedhili, Jiarui Gong, Qiaoqiang Gan, Zhenqiang Ma, Tien Khee Ng, Boon S. Ooi

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Unlocking the clinical potential of paired inspiratory and expiratory CT scans in the differential diagnosis of cystic lung diseases: A systematic review. by Lucas Gabriel R Pinheiro, Carlos Augusto Treviso, Gabriele Carra Forte, Enrico Mattana Muller, Bruno Hochhegger, Rubens Gabriel Feijó Andrade

“…<h4>Introduction</h4>Currently, high-resolution computed tomography (HRCT) is the imaging of choice for the differential diagnosis of various cystic lung lesions, including true cystic lung diseases (CLD) and lesions that may mimic them. …”
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Mutation adaptive cuckoo search hybridized naked mole rat algorithm for industrial engineering problems by Rohit Salgotra, Supreet Singh, Pooja Verma, Laith Abualigah, Amir H Gandomi

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Advances in Multimodal Imaging Techniques for Evaluating and Predicting the Efficacy of Immunotherapy for NSCLC by Liu J, Xie M, Shen J, Yao J, Lin X, Bao X, Zhang X, Liang Y, Yang Y, Jiang G, Diao X, Han W, Du H, Xue X, Wu J

“…Notably, radiomics demonstrates promise in decoding tumor heterogeneity, PD-L1 expression, and immune microenvironment features, while immuno-PET probes targeting immune checkpoints offer novel insights into immune activity in vivo. …”
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Novel Trimethoprim-Based Metal Complexes and Nanoparticle Functionalization: Synthesis, Structural Analysis, and Anticancer Properties by Abbas M. Abbas, Hossam H. Nasrallah, A. Aboelmagd, W. Christopher Boyd, Haitham Kalil, Adel S. Orabi

“…Pharmacokinetic parameters and target enzymes for HD and its complexes were computed using the SwissADME web tool, with the BOILED-Egg model indicating that HD and its Cu complex should be passively permeable via the blood-brain barrier and highly absorbed by the gastrointestinal tract (GIT), unlike the Ni, Co, Ag, and Zn complexes, which are predicted to show low GIT absorption. …”
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The cross-sectional study of hospitalized COVID-19 patients in Xiangyang, Hubei province by Jin-Wei AI, Yong WANG, Jun-Wen CHEN, Xiao-Yun LIU, Wu-Feng FAN, Guo-Xin HUANG, Gao-Jing QU, Mei-Ling ZHANG, Sheng-Duo PEI, Yang LI, Li-Sha WANG, Bin PEI

“…After all data were extracted and analyzed, we summarized the COVID-19 patients epidemiological and clinical features.Results 102 cases were confirmed by real-time RT-PCR, including 52 males and 50 females with an average age of 50.38 years (SD 16.86). …”
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Organization Learning Oriented Approach with Application to Discrete Flight Control by Lin Yu, Shixing Wang, Yongan Zheng

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Numerical investigation of flow field characteristics over vertical drops with sudden contraction for different contraction ratios by Hossein Shahin, Afshin Eghbalzadeh, Mitra Javan

“…In this study, a three-dimensional numerical simulation was performed to investigate the flow pattern over a vertical drop featuring a sudden contraction under various contraction ratios. …”
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Evolutionary modeling reveals that value-oriented knowledge creation behaviors reinvent jobs by Yihang Cheng, Zhaoqi Yang, Yuan Cheng, Yong Ge, Hengshu Zhu

“…In this research, we propose a computational model, focusing on the interplay between world knowledge networks and organizational knowledge sets, along with external labor market conditions. …”
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Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification by Sofia El Amoury, Youssef Smili, Youssef Fakhri

“…Recent advances in deep learning, particularly through the application of Convolutional Neural Networks (CNNs), have transformed medical image analysis by enabling automated, high-accuracy feature extraction. Despite their promise, the performance of CNNs is highly contingent upon optimal hyperparameter tuning, a process that can be both computationally demanding and pivotal for model efficacy. …”
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Hopf Bifurcation Analysis of a New SEIRS Epidemic Model with Nonlinear Incidence Rate and Nonpermanent Immunity by M. P. Markakis, P. S. Douris

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Calibrating the Color–Magnitude Relation of M Giants by Using Open Clusters by X. Y. Tang, C. J. Hao, J. Li, Z. Z. Yan, Y. Xu, J. Zhong, Z. H. Lin, Y. J. Li, D. J. Liu, L. F. Ding, X. F. Long

“…The distributions of these velocities revealed key features of the Galactic disk, including oscillation, north–south rotational asymmetry, and warp. …”
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Manipulating Fano Coupling in an Opto‐Thermoelectric Field by Linhan Lin, Sergey Lepeshov, Alex Krasnok, Yu Huang, Taizhi Jiang, Xiaolei Peng, Brian A. Korgel, Andrea Alù, Yuebing Zheng

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The response time to emotional stimuli (including facial expressions photos) during the fMRI scanning in affective disorders: mild and moderate depression and dysthymic disorder by M. Ye. Mel’nikov, D. D. Bezmaternykh, E. D. Petrovskiy, L. I. Kozlova, M. B. Shtark, A. A. Savelov, O. S. Shubina, K. A. Natarova

“…The response time and accuracy were the subjects of analysis.Results. On the most of the computed parameters patients with depressive disorder did not differ from controls. …”
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Machine Learning Integrated Multivariate Water Quality Control Framework for Prawn Harvesting from Fresh Water Ponds by Gaganpreet Kaur, M. Braveen, Singamaneni Krishnapriya, Surindar Gopalrao Wawale, Jorge Castillo-Picon, Dheeraj Malhotra, Jonathan Osei-Owusu

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ON A COURNOT DUOPOLY GAME WITH DIFFERENTIATED GOODS, HETEROGENEOUS EXPECTATIONS AND A COST FUNCTION INCLUDING EMISSION COSTS by Georges SARAFOPOULOS, Kosmas PAPADOPOULOS

“…The chaotic features are justified numerically via computing Lyapunov numbers and sensitive dependence on initial conditions. …”
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