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

“…We further develop functions (a) to compute those intervals, (b) to evaluate their true coverage probability of enclosing the population parameter, and (c) to generate figures. 4. …”
Get full text

Computational model for mammalian circadian oscillator: interacting with NAD+/SIRT1 pathway and age-related changes in gene expression of circadian oscillator by N. L. Podkolodnyy, N. N. Tverdokhleb, O. A. Podkolodnaya

Get full text

Initial Evaluation of Computer-Assisted Radiologic Assessment for Renal Mass Edge Detection as an Indication of Tumor Roughness to Predict Renal Cancer Subtypes by Rahul Rajendran, Kevan Iffrig, Deepak K Pruthi, Allison Wheeler, Brian Neuman, Dharam Kaushik, Ahmed M Mansour, Karen Panetta, Sos Agaian, Michael A. Liss

“…Tumor “Roughness” was based on image algorithm of tumor topographic features visualized on computed tomography (CT) scans. Univariant and multivariant statistical analyses are utilized for analysis. …”
Get full text

Radiomics model based on computed tomography images for prediction of radiation-induced optic neuropathy following radiotherapy of brain and head and neck tumors by Elham Raiesi Nafchi, Pedram Fadavi, Sepideh Amiri, Susan Cheraghi, Maryam Garousi, Mansoureh Nabavi, Iman Daneshi, Marzieh Gomar, Malihe Molaie, Ali Nouraeinejad

Subjects: Get full text

Autotuning of Isotropic Hardening Constitutive Models on Real Steel Buckling Data with Finite Element Based Multistart Global Optimisation on Parallel Computers by Anton Shterenlikht, Mohammad M. Kashani, Nicholas A. Alexander, Gethin Williams, Adam J. Crewe

Get full text

Enhancing Manufacturing Precision: Leveraging Motor Currents Data of Computer Numerical Control Machines for Geometrical Accuracy Prediction Through Machine Learning by Lucijano Berus, Jernej Hernavs, David Potocnik, Kristijan Sket, Mirko Ficko

“…In this study, we propose a novel indirect measurement method that utilizes motor current data from the controller of a Computer Numerical Control (CNC) machine in combination with machine learning algorithms to predict the geometric accuracy of machined parts in real-time. …”
Get full text

“It's hard to talk to a computer, I get it”: An exploratory analysis of clinician connection-building communication practices in rural telepalliative care encounters by Elise C. Tarbi, Natalie Ambrose, Eric C. Anderson, Rebecca N. Hutchinson, Paul K.J. Han, Maija Reblin, Robert Gramling

Get full text

Radiographic Investigation of Root Canal Morphology of Permanent Mandibular Molars in Makkah Population (Saudi Arabia) Using Cone-Beam Computed Tomography by Laila Mohamed Mohamed Kenawi, Raghad Fahad Althobaiti, Dina Mohammad Filimban, Sarra Dakheel Allah Alotaiby, Majedh Awad Alharbi, Wed Mohammed Kassar

“…This study aimed to analyze the root canal morphology of first and second permanent mandibular molars among Makkah population by using cone-beam computed tomography (CBCT). Materials and Methods. …”
Get full text

Task-Driven Computing Offloading and Resource Allocation Scheme for Maritime Autonomous Surface Ships Under Cloud–Shore–Ship Collaboration Framework by Supu Xiu, Ying Zhang, Hualong Chen, Yuanqiao Wen, Changshi Xiao

Subjects: Get full text

Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect by Jurong Hu, Evans Baidoo, Lei Zhan, Ying Tian

“…In this paper, a robust angle estimator for uncorrelated targets that employs a compressed sense (CS) scheme following a fast greedy (FG) computation is proposed to achieve improved computational efficiency and performance for the bistatic MIMO radar with unknown gain-phase errors. …”
Get full text

Klasifikasi Aktivitas Manusia Menggunakan Algoritme Computed Input Weight Extreme Learning Machine dengan Reduksi Dimensi Principal Component Analysis by M. Sofyan Irwanto, Fitra A. Bachtiar, Novanto Yudistira

“…Based on various approaches that have been used to recognize human activity, sensor-based techniques are known to be superior to other techniques such as computer vision-based techniques. Sensor-based technique can also be performed using smartphones, but smartphone has disadvantages in performing complex alghorithmic computation. …”
Get full text

Corrigendum: Computational study of transcatheter aortic valve replacement based on patient-specific models—rapid surgical planning for self-expanding valves by Zhuangyuan Meng, Haishan Zhang, Yunhan Cai, Yuan Gao, Changbin Liang, Jun Wang, Xin Chen, Liang Guo, ShengZhang Wang, ShengZhang Wang

Subjects: Get full text

Anatomical variations of mandibular lingual foramen and its bony canals in Turkish Cypriot population: a cone-beam computed tomography study by Aida Kurbanova, Berfu Cerci Ongun, Nimet Ilke Akcay, Kaan Orhan

Subjects: “…computed tomography…”
Get full text

Computer-Enhanced Visual Learning Method to Teach Endoscopic Correction of Vesicoureteral Reflux: An Invitation to Residency Training Programs to Utilize the CEVL Method by Michael Bauschard, Max Maizels, Andrew Kirsch, Martin Koyle, Tony Chaviano, Dennis Liu, Rachel Stork Stoltz, Evelyn Maizels, Michaella Prasad, Andrew Marks, David Bolnick

“…The content was developed through collaboration of the authors' clinical and computer expertises. This application provides personnel training, examination, and procedure skill documentation through the use of online text with narration, pictures, and video. …”
Get full text

Computational insights into spin-polarized density functional theory applied to actinide-based perovskites XBkO₃ (X = Sr, Ra, Pb) by Youssef Didi, Mounir Belhajji, Soufiane Bahhar, Abdellah Tahiri, Mohamed Naji, Abdelilah Rjeb, Hatim G. Zaini, Aymen Flah, Sherif S. M. Ghoneim, Ahmed B. Abou Sharaf, Mofreh A. Hashim

Get full text

A computational approach to drug design for multiple sclerosis via QSPR modeling, chemical graph theory, and multi-criteria decision analysis by Fozia Bashir Farooq, Nazeran Idrees, Esha Noor, Nouf Abdulrahman Alqahtani, Muhammad Imran

Get full text

Computational biology assisted exploration of phytochemicals derived natural inhibitors to block BZLF1 gene activation of Epstein–Bar virus in host by Muhammad Naveed, Muzamal Hussain, Tariq Aziz, Nimra Hanif, Nazia Kanwal, Arooj Arshad, Ayaz Ali Khan, Abdulrahman Alshammari, Metab Alharbi

Subjects: Get full text

Study design and protocol of a low to high intensity computer-based cognitive training at home in supplement to standard care in patients with AD by Bernard Croisile, Samar Dimachki, Franck Tarpin-Bernard, Hanna Chainay

“…Introduction Recent studies on cognitive training in patients with Alzheimer’s disease (AD) showed positive long-term effects on cognition and daily living, suggesting remote computer-based programmes to increase training sessions while reducing patient’s travelling. …”
Get full text

Impact of surrounding tissue-type and peri-electrode gap in stereoelectroencephalography guided (SEEG) radiofrequency thermocoagulation (RF-TC): a computational study by Santiago Collavini, Juan J. Pérez, Enrique Berjano, Mariano Fernández-Corazza, Silvia Oddo, Ramiro M. Irastorza

Subjects: “…Computer modeling…”
Get full text

On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

Subjects: “…Edge computing…”
Get full text