External handheld loads affect scapular elevation and upward rotation during shoulder elevation tasks by Alan Eldridge, Everett Lohman, Skulpan Asavasopon, Lida Gharibvand, Lori Michener

“…Scapular kinematic rotations and translations were measured during ascent and descent phases using 3D motion capture. Compared to no load, the highest external load during ascent increased scapular elevation [mean difference = 3.2 degrees (95%CI: 0.9, 5.4), p = 0.006], and during descent increased scapular elevation [mean difference = 3.9 degrees (95%CI: 2.8, 5.1), p < 0.001] and increased scapular upward rotation [mean difference = 4.5 degrees (95%CI: 2.4, 6.6), p < 0.001]. …”
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IDBD-Based Beamforming Algorithm for Improving the Performance of Phased Array Radar in Nonstationary Environments by Shihan Wang, Tao Chen, Hongjian Wang

“…Adaptive array processing technology for a phased array radar is usually based on the assumption of a stationary environment; however, in real-world scenarios, nonstationary interference and noise deteriorate the performance of the traditional gradient descent algorithm, in which the learning rate of the tap weights is fixed, leading to errors in the beam pattern and a reduced output signal-to-noise ratio (SNR). …”
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Neuro-cranio-vertebral syndrome related to coccygeal dislocation: A preliminary study by Miguel B. Royo-Salvador, Marco V. Fiallos-Rivera, Pamela Villavicencio

“…There was a similar prevalence of cerebellar tonsillar descent and scoliosis in both groups, whereas the incidence of syringomyelia differed. …”
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Experience of rectosacropexy in treatment of patients with rectum prolapse by A. Yu. Titov, O. M. Biryukov, O. Yu. Fomenko, A. A. Tikhonov, M. A. Voynov

“…Application of rectosacropexy corrects pelvic floor descent syndrome and evacuatory function of the rectum. …”
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A Multi-Tier Streaming Analytics Model of 0-Day Ransomware Detection Using Machine Learning by Hiba Zuhair, Ali Selamat, Ondrej Krejcar

“…The proposed model classifies ransomware versions to their ancestor families numerally and fuses those of multi-descent families statistically. Thus, it classifies ransomware versions among 40K corpora of ransomware, malware, and good-ware versions through both semi-realistic and realistic environments. …”
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Concentration and Thermal Analysis of immiscible Tangent hyperbolic fluid with distinct viscosity through horizontal asymmetric channel: Theoretical and Observational study by S. Shaheen, H. Huang, M.B. Arain, A. Al-Zubaidi, Elsayed M. Tag-eldin

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Elongation Patterns of the Posterior Cruciate Ligament after Total Knee Arthroplasty by Seyyed Hamed Hosseini Nasab, Colin Smith, Pascal Schütz, Barbara Postolka, Stephen Ferguson, William R. Taylor, Renate List

“…Here, length-change patterns of the ligament bundles were tracked throughout complete cycles of level walking and stair descent. Throughout both activities, elongation of the anterolateral bundle exhibited a flexion-dependent pattern with more stretching during swing than stance phase (e.g., at 40° flexion, anterolateral bundle experienced 3.9% strain during stance and 9.1% during swing phase of stair descent). …”
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Logistic regression over encrypted data from fully homomorphic encryption by Hao Chen, Ran Gilad-Bachrach, Kyoohyung Han, Zhicong Huang, Amir Jalali, Kim Laine, Kristin Lauter

“…Results Our algorithm for training over encrypted data takes 0.4–3.2 hours per iteration of gradient descent. Conclusions We demonstrate the feasibility but high computational cost of training over encrypted data. …”
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Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System by Bushra Saleem, Rabiah Badar, Awais Manzoor, Malik Ali Judge, Jalil Boudjadar, Saif Ul Islam

“…Our scheme uses gradient descent, adadelta, adaptive moment estimation (ADAM) and proximal gradient descent algorithms for optimization in which parameters of the scheme are updated using a back-propagation algorithm. …”
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Clinical and Genetic Analysis of a Patient with CMT4J by Leema Reddy Peddareddygari, Raji P. Grewal

“…The p.Ile41Thr mutation, which is paternally inherited, is a recurrent mutation reported in a number of unrelated families of European descent. The patient’s father, also of European descent, provides further evidence supporting a founder effect for this mutation. …”
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Data-Driven Fracture Morphology Prognosis from High Pressured Modified Proppants Based on Stochastic-Adam-RMSprop Optimizers; tf.NNR Study by Dennis Delali Kwesi Wayo, Sonny Irawan, Alfrendo Satyanaga, Jong Kim

“…A multi-structured dense layer with 1000, 100, and 1 neurons was compiled with mean absolute error (MAE) as loss functions and evaluation metrics concentrating on stochastic gradient descent (SGD), Adam, and RMSprop optimizers at a learning rate of 0.01. …”
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Artificial Neural Network (ANN) to Predict Mathematics Students' Performance by Norpah Mahat, Nor Idayunie Nording, Jasmani Bidin, Suzanawati Abu Hasan, Teoh Yeong Kin

“…Three types of training functions have been selected in this study, which are Levenberg-Marquardt (TRAINLM), Gradient descent with momentum (TRAINGDM) and Gradient descent with adaptive learning rate (TRAINGDA). …”
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Stair walking is obesity-associated: Rate of ascending and descending the stairs at an underground train station in Munich, Germany by Martin Hofmeister

“…On two observation days, the pedestrians' mode of descent (stairs/escalator) was also recorded on 457 people, of whom 28% (N = 128) were categorized as obviously overweight-obese. …”
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Predicting Popularity of Viral Content in Social Media through a Temporal-Spatial Cascade Convolutional Learning Framework by Zhixuan Xu, Minghui Qian

“…By using the visualization method, our approach finds that both broadcast and structural virality contribute to online content going viral; the cascade with a gradual descent or ascent-then-descent evolving pattern at the early stage is more likely to gain significant eventual popularity, and even the timing of users participating in the cascade has an effect on future popularity growth.…”
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Aggregated Throughput Prediction for Collated Massive Machine-Type Communications in 5G Wireless Networks by Ahmed Adel Aly, Hussein M. ELAttar, Hesham ElBadawy, Wael Abbas

“…The fast convergence time of the proposed model and its lower complexity are more practical than the previous gradient descent algorithm.…”
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COVID-19 stigmatization after the development of effective vaccines: Vaccination behavior, attitudes, and news sources by Don C. Des Jarlais, Sarah Lieff, Margaux Grivel, Gabriella Meltzer, Jasmin Choi, Chenziheng Allen Weng, Jonathan P. Feelemyer, Virginia W. Chang, Lawrence Yang

“…The main outcomes included endorsement of stigmatization and behavioral restrictions towards persons with COVID-19 and towards persons of Chinese descent. A previously developed “stigmatizing attitudes and behavioral restrictions” scale was adapted to measure the intersection of negative attitudes toward COVID-19 disease and negative attitudes toward persons of Chinese descent. …”
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Skyfall: Signal Fusion from a Smartphone Falling from the Stratosphere by Milton A. Garcés, Daniel Bowman, Cleat Zeiler, Anthony Christe, Tyler Yoshiyama, Brian Williams, Meritxell Colet, Samuel Takazawa, Sarah Popenhagen

“…A smartphone plummeted from a stratospheric height of 36 km, providing a near-real-time record of its rapid descent and ground impact. An app recorded and streamed useful internal multi-sensor data at high sample rates. …”
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On the Sparse Gradient Denoising Optimization of Neural Network Models for Rolling Bearing Fault Diagnosis Illustrated by a Ship Propulsion System by Shuangzhong Wang, Ying Zhang, Bin Zhang, Yuejun Fei, Yong He, Peng Li, Mingqiang Xu

“…However, training methods based on small batches have a disadvantage in that the samples which best represent the gradient descent direction can be disturbed by either other samples in the opposite direction or anomalies. …”
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Artificial Neural Network (ANN) to Predict Mathematics Students' Performance by Norpah Mahat, Nor Idayunie Nording, Jasmani Bidin, Suzanawati Abu Hasan, Teoh Yeong Kin

“…Three types of training functions have been selected in this study, which are Levenberg-Marquardt (TRAINLM), Gradient descent with momentum (TRAINGDM) and Gradient descent with adaptive learning rate (TRAINGDA). …”
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Self-adapting anti-surge intelligence control and numerical simulation of centrifugal compressors based on RBF neural network by San He, Mengyu Xie, Patioon Tontiwachwuthikul, Christine Chan, Jianfeng Li

“…Aiming at the problem that the gradient descent method is more sensitive to the initial value when solving RBF-NN, a hybrid algorithm of k-means, recursive least square, and gradient descent (KRG algorithm) is proposed. …”
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