Primary stability in cementless rotating platform total knee arthroplasty by Small, SR, Rogge, RD, Reyes, EM, Seale, RB, Elliott, JB, Malinzak, RA

“…The sintered bead tibial tray exhibited slightly lower micromotion than the roughened porous coating in stair descent loading. However, no significant difference in primary stability was observed in condylar liftoff loading in either foam or cadaveric specimens. …”

دراسة واقعية لظاهرة الوحي يف الدراسات االستشراقية املنصفة by Abualyqa, Yousif Mousa Ali Abdalla

“…Most Oriental scholars initially lacked conviction in the descent of revelation upon the Prophet (peace be upon him), as proving revelation validates his prophethood while denying it opposes this validation. …”
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Algebraic description of chiral anomalies and superspace geometry by G.A. Girardi, R. Grimm

“…The supersymmetry of the non abelian chiral anomaly is exhibited, up to trivial terms, using descent equations and triangle formulas in the framework of N=1 superspace geometry in four dimensions.…”
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Controversial causal association between IGF family members and osteoporosis: a Mendelian randomization study between UK and FinnGen biobanks by Jie Tang, Chanjuan Zhao, Sha Lin, Xing Li, Binlu Zhu, Yifei Li

“…Predictions of 14 serum levels of IGF system members were made using 11,036,163 relevant Single Nucleotide Polymorphisms (SNPs) within a cohort of 4,301 individuals of European descent. Genetic association estimates for osteoporosis were derived from two publicly available GWAS consortia: the Finnish consortium from the FinnGen biobank, comprising 212,778 individuals of Finnish descent (3,203 cases and 209,575 controls), and the UK consortium from the UK Biobank, including 337,159 individuals of European descent (5,266 cases and 331,893 controls).ResultsAccording to the UK dataset, IGF-1 levels were associated with a reduced risk of osteoporosis, as indicated by the weighted median method (Odds Ratio [OR] = 0.998, 95% CI = 0.997–1.000, P = 0.032). …”
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Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction by M. Renugadevi, K. Narasimhan, C. V. Ravikumar, Rajesh Anbazhagan, Giovanni Pau, Kannan Ramkumar, Mohamed Abbas, N. Raju, K. Sathish, Prabu Sevugan

“…The highest accuracy of 96% is achieved using stochastic gradient descent. Lifetime prediction of high-grade glioma patients is made using regression techniques: Linear, ridge, stochastic gradient descent, and extreme gradient boosting. …”
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Clinical spectrum of Transthyretin amyloidogenic mutations among diverse population origins by Antonella De Lillo, Gita A. Pathak, Aislinn Low, Flavio De Angelis, Sarah Abou Alaiwi, Edward J. Miller, Maria Fuciarelli, Renato Polimanti

“…The same TTR mutation was linked to neoplasms in European-descent individuals (EUR, fold-enrichment = 3.09, p = 0.003). …”
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High Speed Flows by Olga A. Azarova

“…High speed gas flows occur during the movement of aircrafts, rockets, and descent vehicles, as well as in combustion chambers, nozzles, and many other technological applications [...]…”
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Angle-of-Attack Estimation for General Aviation Aircraft by Marin Ivanković, Milan Vrdoljak, Marijan Andrić, Hrvoje Kozmar

“…Two flight regimes were analyzed: (a) steady climb and descent with low values of angle of attack, (b) approach to stall with idle power with an increase of the angle of attack to the critical value. …”
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Online Trajectory Optimization Method for Large Attitude Flip Vertical Landing of the Starship-like Vehicle by Hongbo Chen, Zhenwei Ma, Jinbo Wang, Linfeng Su

“…This method has the potential to be an online guidance method for the powered descent landing problem of starship-like vehicles.…”
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A Family of Multi-Step Subgradient Minimization Methods by Elena Tovbis, Vladimir Krutikov, Predrag Stanimirović, Vladimir Meshechkin, Aleksey Popov, Lev Kazakovtsev

“…The family of algorithms for finding the descent direction is based on solving systems of inequalities. …”
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Unsupervised Hashing with Gradient Attention by Shaochen Jiang, Liejun Wang, Shuli Cheng, Anyu Du, Yongming Li

“…The existing learning-based unsupervised hashing method usually uses a pre-trained network to extract features, and then uses the extracted feature vectors to construct a similarity matrix which guides the generation of hash codes through gradient descent. Existing research shows that the algorithm based on gradient descent will cause the hash codes of the paired images to be updated toward each other’s position during the training process. …”
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An Efficient CNN Model for Automated Digital Handwritten Digit Classification by Angona Biswas, Md. Saiful Islam

“…Compared to Adam and RMSProp optimizers, stochastic gradient descent with momentum yielded the highest accuracy. …”
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IMPROVEMENT OF RECOGNITION QUALITY IN DEEP LEARNING NETWORKS BY SIMULATED ANNEALING METHOD by A. S. Potapov, V. V. Batishcheva, P. Shu-Chao

“…In order to verify the hypothesis of possibility to improve recognition rate by global optimization of parameters for deep learning networks, which are traditionally trained layer-by-layer by gradient descent, a new method has been designed and implemented. …”
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Gradient-Based Optimization for Intent Conflict Resolution by Idris Cinemre, Kashif Mehmood, Katina Kralevska, Toktam Mahmoodi

“…Following the initial detection of conflicts among intents using a gradient-based approach, our work employs the Multiple Gradient Descent Algorithm (MGDA) to minimize all loss functions assigned to each intent simultaneously. …”
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Remaining Useful Life Estimation of Aircraft Engines Using Differentiable Architecture Search by Pengli Mao, Yan Lin, Song Xue, Baochang Zhang

“…To address these challenges, we propose a neural architecture search (NAS) method based on gradient descent. In this study, we construct the search space with a directed acyclic graph (DAG), where a subgraph represents a network architecture. …”
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O problema de roteamento de veículos com coleta e entrega simultânea: uma abordagem via Iterated Local Search e GENIUS by Marcio Tadayuki Mine, Matheus de Souza Alves Silva, Luiz Satoru Ochi, Marcone Jamilson Freitas Souza, Thaís Cotta Barbosa da Silva

“…GENILS is a heuristic algorithm based on Iterated Local Search, Variable Neighborhood Descent and adaptations of the Cheapest Insertion and GENIUS heuristics. …”
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MODERN METHODS OF BUNDLE ADJUSTMENT ON THE GPU by R. Hänsch, I. Drude, O. Hellwich

“…Instead of focusing on the standard approach of Levenberg-Marquardt optimization alone, nonlinear conjugate gradient descent and alternating resection-intersection are studied as two alternatives. …”
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A review of vaginal hysterectomies in the gynaecology department of a tertiary care hospital by Tayyiba Wasim, Gul e Rana, Javeria Zunair, Tahira Nasrin, Sonia Irshad

“…Out of 819 hysterectomies performed for benign gynaecological conditions, 112 (13.68%) were vaginal hysterectomies. Non-descent vaginal hysterectomy (NDVH) accounted for 33(29.46%) and uterine prolapse for 79(70.53%) of the cases. …”
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Hyperinsulinemic Hypoglycemia Due to <i>PMM2</i> Mutation in Two Siblings with Autosomal Recessive Polycystic Kidney Disease by Ratna Acharya, Kiran Upadhyay

“…<b>Conclusions</b>: Although this combination of HH and PKD was recently described in patients of European descent who also had <i>PMM2</i> mutation, our report is unique given that these non-consanguineous siblings were not exclusively of European descent. …”
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Path planning and intelligent control of a soft robot arm based on gas-structure coupling actuators by Yan Xu, Hongwei Li, Hua Li, Guanhui Fang, Guanhui Fang, He Jia, He Jia

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