Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

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Economic Evaluation of a Novel Lung Cancer Diagnostic in a Population of Patients with a Positive Low-Dose Computed Tomography Result by Michael J. Morris, Sheila A. Habib, Maggie L. Do Valle, John E. Schneider

“…Consequently, there is a critical need for advanced diagnostics after an initial low-dose computed tomography (LDCT) scan. **Objectives:** This study evaluated the potential cost savings for US payers of CyPath® Lung, a novel diagnostic tool utilizing flow cytometry and machine learning for the early detection of lung cancer, in patients with positive LDCT scans with indeterminate pulmonary nodules (IPNs) ranging from 6 to 29 mm. …”
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Hemodynamic Effect of Unequal Anterior Cerebral Artery Flow Rates on the Anterior Communicating Artery Bifurcation: A Computational Fluid Dynamics Study by Thomas Rau, Xing He, Prem Venugopal, Fernando Viñuela, Gary Duckwiler, Daniel J. Valentino

“…Computational fluid dynamics techniques were used to investigate the hemodynamic effect of unequal anterior cerebral artery flow rates on the anterior cerebral and anterior communicating artery (ACA-ACOM) bifurcation. …”
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Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids by M. Christobel, S. Tamil Selvi, Shajulin Benedict

“…One of the most significant and the topmost parameters in the real world computing environment is energy. Minimizing energy imposes benefits like reduction in power consumption, decrease in cooling rates of the computing processors, provision of a green environment, and so forth. …”
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Role of Cone Beam Computed Tomography in Rehabilitation of a Traumatised Deficient Maxillary Alveolar Ridge Using Symphyseal Block Graft Placement by Shipra Arora, Arundeep Kaur Lamba, Farrukh Faraz, Shruti Tandon, Abdul Ahad

“…Careful assessment of the recipient as well as the donor site using cone beam computed tomography (CBCT) is a prerequisite to ideal treatment planning. …”
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Computed Tomography Image Segmentation of Lung Corona Virus Infection Region Based on Combination of Grayscale Morphological Reconstruction and Fast Marching Method by Aws Alazawi, Abbas Fadhal Humadi, Huda Farooq Jameel, Huda Ali Hashim, John Soraghan

“… Recently, X-ray computed tomography-imaging modality is considered as golden standard for diagnosis of coronavirus lungs infection. …”
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CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices by Kumar P. Mainali, Eric Slud

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Noninvasive Demonstration of Dual Coronary Artery Fistulas to Main Pulmonary Artery with 64-Slice Multidetector-Computed Tomography: A Case Report by Yoshiki Noda, Ryo Matsutera, Yoshinori Yasuoka, Haruhiko Abe, Hidenori Adachi, Susumu Hattori, Ryo Araki, Takahiro Imanaka, Motohiro Kosugi, Tatsuya Sasaki

“…We report here a 58-year-old woman with dual fistulas originating from the left anterior descending coronary artery and right coronary sinus to the main pulmonary artery, demonstrating noninvasively with multidetector-computed tomography (MDCT) and transthoracic echocardiography (TTE).…”
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Computational design of drug candidates for influenza A virus subtype H1N1 by inhibiting the viral neuraminidase-1 enzyme by Tambunan Usman Sumo Friend, Parikesit Arli Aditya, Dephinto Yonaniko, Sipahutar Feimmy Ruth Pratiwi

“…Here we designed ligands by using molecular docking, drug scan and dynamics computational methods. Based on our docking results, short polypeptides of cystein-arginine-methionine-tyrosine- -proline-cysteine (CRMYPC) and cysteine-arginine-aspargine- phenylalanine-proline-cysteine (CRNFPC) have good residual interactions with the target and the binding energy ΔGbinding of -31.7402 and -31.0144 kcal mol-1, respectively. …”
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Thermal and economic evaluation of replacing pulverized coal with torrefied biomass in a small industrial burner in Thailand using computational fluid dynamics by Rachapat Chaiyo, Jakrapop Wongwiwat, Yanin Sukjai

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Exploring Synergy of Computing Power and Electricity： Unearthing Flexibility of High-Voltage Direct Current-Side Integrated Backup and Energy Storage Batteries by CHEN Min, GUO Qinglai, JING Tangbo, PAN Yu, ZHAI Sicheng, LI Zihao

Subjects: “…synergy of computing power and electricity|data center|load flexibility|integrated backup and energy storage battery|supported workload|electricity cost…”
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The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning by R. Harald Baayen, Yu-Ying Chuang, Elnaz Shafaei-Bajestan, James P. Blevins

“…The discriminative lexicon is introduced as a mathematical and computational model of the mental lexicon. This novel theory is inspired by word and paradigm morphology but operationalizes the concept of proportional analogy using the mathematics of linear algebra. …”
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Evaluation of the location of posterior superior alveolar artery and infraorbital foramen originating from the same source by using cone beam computed tomography by Kübra Çam, Ayse Zeynep Zengin

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Deep Reinforcement Learning-Based Task Partitioning Ratio Decision Mechanism in High-Speed Rail Environments with Mobile Edge Computing Server by Seolwon Koo, Yujin Lim

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Characterization of Pulmonary Vein Dimensions Using High-Definition 64-Slice Computed Tomography prior to Radiofrequency Catheter Ablation for Atrial Fibrillation by Catherine Gebhard, Nazmi Krasniqi, Barbara E. Stähli, Bernd Klaeser, Tobias A. Fuchs, Jelena R. Ghadri, Laurent Haegeli, Thomas F. Lüscher, Philipp A. Kaufmann, Firat Duru

“…Background. Contrast-enhanced computed tomography is commonly acquired before radiofrequency catheter ablation (RFCA) for atrial fibrillation (AFib) to guide the procedure. …”
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Use of Computational Fluid Dynamics to Estimate Hemodynamic Effects of Respiration on Hypoplastic Left Heart Syndrome Surgery: Total Cavopulmonary Connection Treatments by Jinlong Liu, Yi Qian, Qi Sun, Jinfen Liu, Mitsuo Umezu

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A distributed photovoltaic short‐term power forecasting model based on lightweight AI for edge computing in low‐voltage distribution network by Yuanliang Fan, Han Wu, Jianli Lin, Zewen Li, Lingfei Li, Xinghua Huang, Weiming Chen, Jian Zhao

“…Therefore, the operational status of distributed photovoltaic systems in low‐voltage distribution network becomes difficult to predict. However, edge computing in the distribution network enable local processing of data to improve the real‐time and reliability of the forecasting service. …”
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A Numerical Computation of a System of Linear and Nonlinear Time Dependent Partial Differential Equations Using Reduced Differential Transform Method by Brajesh Kumar Singh, Mahendra

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Computational Study of the Phytochemical Constituents from Uncaria tomentosa Stem Bark against SARS-CoV-2 Omicron Spike Protein by Oscar Herrera-Calderon, Abdulrahman M. Saleh, Andres F. Yepes-Perez, Nada H. Aljarba, Saad Alkahtani, Gaber El-Saber Batiha, Renan Dilton Hañari-Quispe, Haydee Chavez, Josefa Bertha Pari-Olarte, Eddie Loyola-Gonzales, José Santiago Almeida-Galindo, José Francisco Kong-Chirinos, Taoufiq Benali

“…On the other hand, medicinal plants have been used as alternatives therapies to ameliorate some signs and symptoms in COVID-19, and in our previous work, the cat’s claw (Uncaria tomentosa) stem bark has been studied in vitro and showed antiviral activity on SARS-CoV-2 as well as in silico studies on the 3CLpro protein and as disruptor between the ACE-2 human receptor and the spike protein. The aim in this computational study was to determine the main phytochemical constituents from U. tomentosa stem bark against the SARS-CoV-2 Omicron spike protein based on molecular modeling. …”
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Correction: Energy efficiency as a driver of the circular economy and carbon neutrality in selected countries of Southern Europe: a soft computing approach by Alma Ramčilović Jesih, Goran Šimić, Ljubiša Konatar, Zoran Brljak, Polona Šprajc

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