Conformational landscape of soluble α-klotho revealed by cryogenic electron microscopy by Nicholas J. Schnicker, Zhen Xu, Mohammad Amir, Lokesh Gakhar, Chou-Long Huang

“…Recent studies revealed that FGF23 contains two KLA-binding sites. Our computational studies revealed that each site binds separate KLA in the dimer. …”
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A Study of Causes and Clinicopathological Changes of Patients Presented with Hoarseness of Voice in the ENT Department of Hilla Teaching General Hospital, Babylon, Iraq by Maytham Lafta Kreem Witwit

“…Radiological examination by plain X-ray of the neck and chest, computed tomography scans of the head, neck, and chest, and a direct laryngoscopy exam. …”
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Qualitative Analysis of a COVID-19 Mathematical Model with a Discrete Time Delay by Abraham J. Arenas, Gilberto González-Parra, Miguel Saenz Saenz

“…We study the qualitative dynamics of the model by performing global and local stability analysis. We compute the basic reproduction number <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msubsup><mi mathvariant="script">R</mi><mn>0</mn><mi>d</mi></msubsup></semantics></math></inline-formula>, which depends on the time delay and determines the stability of the two steady states. …”
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Subseasonal forecasts of heat waves in West African cities by C. G. Ngoungue Langue, C. G. Ngoungue Langue, C. Lavaysse, C. Lavaysse, C. Flamant

“…The performance of the forecast models in predicting heat waves is assessed through the computation of categorical metrics such as the hit rate, the Gilbert skill score and the false alarm ratio. …”
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OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging by Xiaolu Ren, Xiaolu Ren, Lingxuan Hou, Shan Liu, Peng Wu, Siming Liang, Haitian Fu, Chengquan Li, Ting Li, Yongjing Cheng

“…The future goal is to seamlessly integrate deep learning and advanced computational techniques with the expertise of medical professionals.…”
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Robust reinforcement learning algorithm based on pigeon-inspired optimization by Mingying ZHANG, Bing HUA, Yuguang ZHANG, Haidong LI, Mohong ZHENG

“…Reinforcement learning(RL) is an artificial intelligence algorithm with the advantages of clear calculation logic and easy expansion of the model.Through interacting with the environment and maximizing value functions on the premise of obtaining little or no prior information, RL can optimize the performance of strategies and effectively reduce the complexity caused by physical models .The RL algorithm based on strategy gradient has been successfully applied in many fields such as intelligent image recognition, robot control and path planning for automatic driving.However, the highly sampling-dependent characteristics of RL determine that the training process needs a large number of samples to converge, and the accuracy of decision making is easily affected by slight interference that does not match with the simulation environment.Especially when RL is applied to the control field, it is difficult to prove the stability of the algorithm because the convergence of the algorithm cannot be guaranteed.Considering that swarm intelligence algorithm can solve complex problems through group cooperation and has the characteristics of self-organization and strong stability, it is an effective way to be used for improving the stability of RL model.The pigeon-inspired optimization algorithm in swarm intelligence was combined to improve RL based on strategy gradient.A RL algorithm based on pigeon-inspired optimization was proposed to solve the strategy gradient in order to maximize long-term future rewards.Adaptive function of pigeon-inspired optimization algorithm and RL were combined to estimate the advantages and disadvantages of strategies, avoid solving into an infinite loop, and improve the stability of the algorithm.A nonlinear two-wheel inverted pendulum robot control system was selected for simulation verification.The simulation results show that the RL algorithm based on pigeon-inspired optimization can improve the robustness of the system, reduce the computational cost, and reduce the algorithm’s dependence on the sample database.…”
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The Relevance of the Virchow Node and Virchow Triad in Renal Cancer Diagnosis by Luiza-Roxana Dorobantu-Lungu, Viviana Dinca, Andrei Gegiu, Dan Spataru, Andreea Toma, Luminita Welt, Mihaela Florentina Badea, Constantin Caruntu, Cristian Scheau, Ilinca Savulescu-Fiedler

“…<b>Results:</b> Following computed tomography, magnetic resonance imaging, PET-CT, and histopathological and immunohistochemical examinations, the patient was diagnosed with renal carcinoma with Xp11.2 translocation and TFE3 gene fusion. …”
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In-silico screening and analysis of missense SNPs in human CYP3A4/5 affecting drug-enzyme interactions of FDA-approved COVID-19 antiviral drugs by Amro A. Abdelazim, Mohamad Maged, Ahmed I. Abdelmaksoud, Sameh E. Hassanein

“…In this work, we computationally investigated antiviral-enzyme interactions of CYP3A4/5 genetic variants. …”
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Numerical investigation of the influence of pulse frequency on the weld pool size in pulsed current TIG welding by Shahid Parvez, Magdy El Rayes, Essam Al-Bahkali, Khalid Alqosaibi

“…A numerical model was developed to compute heat and current fluxes on the workpiece surface. …”
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CTA Study of Ruptured Aneurysms of the Posterior Communicating Artery by Zibo Zhou, Jinlu Yu

“…Only a few reported studies have used computed tomography angiography (CTA) to image ruptured aneurysms at the junction of the internal carotid artery (ICA) and posterior communicating artery (PcomA) in the context of the adjacent arteries. …”
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Identifying Critical Input Parameters for Improving Drag‐Based CME Arrival Time Predictions by C. Kay, M. L. Mays, C. Verbeke

“…Drag‐based models typically are much more computationally efficient than magnetohydrodynamic models, allowing for ensemble modeling. …”
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Metabolically activated and highly polyfunctional intratumoral VISTA+ regulatory B cells are associated with tumor recurrence in early-stage NSCLC by Domenico Lo Tartaro, Beatrice Aramini, Valentina Masciale, Nikolaos Paschalidis, Francesco Demetrio Lofaro, Anita Neroni, Rebecca Borella, Elena Santacroce, Alin Liviu Ciobanu, Anna Valeria Samarelli, Federica Boraldi, Daniela Quaglino, Alessandra Dubini, Michele Gaudio, Gloria Manzotti, Francesca Reggiani, Federica Torricelli, Alessia Ciarrocchi, Antonino Neri, Federica Bertolini, Massimo Dominici, Pier Luigi Filosso, Franco Stella, Lara Gibellini, Sara De Biasi, Andrea Cossarizza

“…Spatial analysis showed colocalization of B cells with CD4+/CD8+ T lymphocytes in TME. The computational analysis of intercellular communications that links ligands to target genes, performed by NicheNet, predicted B-T interactions via VISTA-PSGL-1 axis. …”
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Metamorphosis of the Identity of the Human Сompleted: from Digital Donor to Digital Centaur by G.U. Soldatova, S.V. Chigarkova, S.N. Ilyukhina

“…</strong>The Fourth Industrial Revolution is gradually bringing us to the frontier of the steady transformation of the human being into a being increasingly connected to technology. Smartphones, computers, the Internet of Things, and AI assistants, which form an integral technosystem that mediates the everyday life of man, are complex cultural tools that become his complements and extensions &ndash; part of the personality. …”
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Three-Rooted Permanent Mandibular First Molars: A Meta-Analysis of Prevalence by Nyan M. Aung, Kyaw K. Myint

“…In vivo epidemiological studies undergone with Cone Beam Computed Tomography (CBCT) were eligible. The proportions of the prevalence of three-rooted permanent mandibular first molars were presented in the forest plots by random effect model. …”
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The Application of Advanced Bone Imaging Technologies in Sports Medicine by Samuel S. Tadros, Scott Epsley, Sameer Mehta, Brandon C. Jones, Hiran I. Rajapakse, Rashad Madi, Austin Alecxih, Daniel Kargilis, Chamith S. Rajapakse

“…Among these imaging modalities is high-resolution peripheral quantitative computed tomography (HR-pQCT) which is a promising technology that has been developed to examine the bone microarchitecture in both cortical and trabecular bone at peripheral anatomical sites. …”
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Effective breastfeeding technique and associated factors among lactating mothers in Gidan District, North-East, Ethiopia: a community-based cross-sectional study by Eskedar Getie Mekonnen, Desale Bihonegn Asmamaw, Yohannes Ayanaw Habitu, Wubshet Debebe Negash, Dawit Zenamarkos Desta

“…Individual scores of three variables about breast feeding, namely positioning, attachment and suckling, were computed to generate the outcome variable, that is, breastfeeding technique. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…The recent advancements in data mining, machine learning algorithms and cognitive systems have necessitated the development of neuromorphic processing engines which may enable resource and computationally intensive applications on the internet-of-Things (IoT) edge devices with unprecedented energy efficiency. …”
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Haralick Texture Analysis for Differentiating Suspicious Prostate Lesions from Normal Tissue in Low-Field MRI by Dang Bich Thuy Le, Ram Narayanan, Meredith Sadinski, Aleksandar Nacev, Yuling Yan, Srirama S. Venkataraman

“…Two extraction methods were used: the direct computation of texture measures within the ROIs and a sliding window technique generating texture maps across the prostate from which average values were derived. …”
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Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

“…Traditional prediction methods for these light absorption properties, including Time-Dependent Density Functional Theory (TDDFT), are often computationally intensive and time-consuming. In this study, we explore a machine learning (ML) approach to predict the light absorption in the region of the therapeutic window of platinum, iridium, ruthenium, and rhodium complexes, aiming at streamlining the screening of potential photoactivatable prodrugs. …”
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The Influence of Ventilation Arrangement on the Mechanism of Dust Distribution in Woxi Pithead by Zhiyong Zhou, Pei Hu, Chongchong Qi, Tianpei Niu, Ming Li, Long Tian

“…Based on the theory of gas-solid two-phase flow, the program ANSYS Fluent was utilized, and the three-dimensional airflow migration and dust diffusion numerical models were simulated. The established computational fluid dynamics (CFD) models were validated using the airflow velocity data and the dust concentration data monitored at different positions from the operating coal mine. …”
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