Optimal Control for Neutral Stochastic Integrodifferential Equations with Infinite Delay Driven by Poisson Jumps and Rosenblatt Process by Dimplekumar Chalishajar, Ramkumar Kasinathan, Ravikumar Kasinathan

“…In this paper, we investigate the optimal control problems for a class of neutral stochastic integrodifferential equations (NSIDEs) with infinite delay driven by Poisson jumps and the Rosenblat process in Hilbert space involving concrete-fading memory-phase space, in which we define the advanced phase space for infinite delay for the stochastic process. …”
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Prediction of the Coefficient of Pressure Fluctuations during the Hydraulic Jump Using ELM, GMDH, and M5MT by Tzu-Chia Chen, Biju Theruvil Sayed, Maria Jade Catalan Opulencia, Raed H. C. Alfilh, Maki Mahdi Abdulhasan, Sayed Hashmat Sadat

“…Overall, the suggested soft computing techniques worked well for predicting pressure fluctuation changes in the hydraulic jump.…”
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Option Pricing and Portfolio Optimization under a Multi-Asset Jump-Diffusion Model with Systemic Risk by Roman N. Makarov

“…We explore a multi-asset jump-diffusion pricing model, combining a systemic risk asset with several conditionally independent ordinary assets. …”
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The Influence of Different Rope Jumping Methods on Adolescents’ Lower Limb Biomechanics during the Ground-Contact Phase by Yi Lin, Zhenghui Lu, Xuanzhen Cen, Anand Thirupathi, Dong Sun, Yaodong Gu

“…In this study, 16 male adolescent subjects were tested for bounced jump skipping and alternating jump rope skipping. …”
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Prediction of Hydraulic Jumps on a Triangular Bed Roughness Using Numerical Modeling and Soft Computing Methods by Mehdi Dasineh, Amir Ghaderi, Mohammad Bagherzadeh, Mohammad Ahmadi, Alban Kuriqi

“…The results of the FLOW-3D^® model and experimental data showed that the overall mean value of relative error is 4.1%, which confirms the numerical model’s ability to predict the characteristics of the free and submerged jumps. The SVM model with a minimum of Root Mean Square Error (RMSE) and a maximum of correlation coefficient (<i>R</i>²), compared with GEP and RF models in the training and testing phases for predicting the sequent depth ratio (<i>y</i>₂/<i>y</i>₁), submerged depth ratio (<i>y</i>₃/<i>y</i>₁), tailwater depth ratio (<i>y</i>₄/<i>y</i>₁), length ratio of jumps (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>L</mi><mi>j</mi></msub><mo>/</mo><msubsup><mi>y</mi><mn>2</mn><mo>*</mo></msubsup></mrow></semantics></math></inline-formula>) and energy dissipation (Δ<i>E</i>/<i>E</i>₁), was recognized as the best model. …”
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The validity and reliability of counter movement jump height measured with the Polar Vantage V2 sports watch by Markus Gruber, Jussi Peltonen, Julia Bartsch, Philipp Barzyk

“…The Bland-Altmann plot together with the ordinary least squares regression analysis showed no systematic bias between the methods with a minimal difference at a jump height of 30 cm. …”
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The sex effects on changes in jump performance following an isometric back squat conditioning activity in trained adults by Dawid Koźlenia, Jarosław Domaradzki

“…Changes (Δ) towards the baseline and each jump height results were calculated and analyzed in the absolute (cm) and relative (%) approach. …”
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A didactically motivated reexamination of a particle’s quantum mechanics with square-well potentials by Domenico Giordano, Pierluigi Amodio, Felice Iavernaro

“…We address two questions regarding square-well potentials from a didactic perspective. …”
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Estimation of Joint Forces and Moments for the In-Run and Take-Off in Ski Jumping Based on Measurements with Wearable Inertial Sensors by Grega Logar, Marko Munih

“…For the model validation, four ski jumpers from the National Nordic center performed a simulated jump in a laboratory environment on a force platform; in total, 20 jumps were recorded. …”
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Enhanced Artificial Neural Network with Harris Hawks Optimization for Predicting Scour Depth Downstream of Ski-Jump Spillway by Saad Sh. Sammen, Mohammad Ali Ghorbani, Anurag Malik, Yazid Tikhamarine, Mohammad AmirRahmani, Nadhir Al-Ansari, Kwok-Wing Chau

“…Besides, graphical inspection displays better accuracy of the ANN-HHO model than ANN-PSO, ANN-GA, ANN, and WM models for prediction of SD around the ski-jump spillway.…”
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Ski Jumping Trajectory Reconstruction Using Wearable Sensors via Extended Rauch-Tung-Striebel Smoother with State Constraints by Xiang Fang, Benedikt Grüter, Patrick Piprek, Veronica Bessone, Johannes Petrat, Florian Holzapfel

“…Moreover, a comparison between jump lengths obtained from the proposed method and video recordings shows the relative root-mean-square error of the reconstructed jump length is below 1.5 m depicting the accuracy of the algorithm.…”
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Predictive explicit expressions from data-driven models for estimation of scour depth below ski-jump bucket spillways by Reza Shafagh Loron, Mehrshad Samadi, Abolfazl Shamsai

“…For this purpose, the published and reliable prototype data related to scour depth below ski jump bucket spillways (Ds) was used to develop data-driven models. …”
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Hybrid model of support vector regression and innovative gunner optimization algorithm for estimating ski-jump spillway scour depth by Lirong Wang, Guodao Zhang, Xuesong Yin, Hongkai Zhang, Mahsa H. Kashani, Thendiyath Roshni, Sarita Gajbhiye Meshram

“…The performances of the models are compared using root mean square error (RMSE), mean average error (MAE), and correlation coefficient (CC) criteria and some statistical plots. …”
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Influence of invertor and evertor muscle fatigue on functional jump tests and postural control: A prospective cross-sectional study by Gabriela Borin Castillo, Guilherme Carlos Brech, Nátalia Mariana Silva Luna, Fernanda Botta Tarallo, Jose Maria Soares-Junior, Edmund Chada Baracat, Angelica Castilho Alonso, Júlia Maria D’Andréa Greve

“…Tests included static posturography on a force platform in a bipedal stance with eyes open and closed and in one-legged support with eyes open and functional jump tests (figure-of-8, side hop, 6-m crossover hop, and square hop). …”
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Can We Rely on Flight Time to Measure Jumping Performance or Neuromuscular Fatigue-Overload in Professional Female Soccer Players? by Estrella Armada-Cortés, Javier Peláez Barrajón, José Antonio Benítez-Muñoz, Enrique Navarro, Alejandro F. San Juan

“…Finally, the JH with the FP through the FT and the APP did not differ (<i>p</i> > 0.05). The eta-squared of the one-way ANOVA was η2 = 0.085. It seems that only the TOV measured with a FP could guarantee the accuracy of the jump test in SJ+CMJ and SJ, so it is recommended that high-level sportswomen and men should be assessed with the FP through TOV as gold standard technology to ensure correct performance and/or fatigue-overload control during the sport season.…”
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Ellipsoidal Design of Robust Stabilization of Power Systems Exposed to a Cycle of Lightning Surges Modeled by Continuous-Time Markov Jumps by Alexander Poznyak, Hussain Alazki, Hisham M. Soliman, Razzaqul Ahshan

“…The topological stochastic disturbances due to line faults caused by a series of lightning strikes (associated with circuit breaker, C.B., opening, and auto-reclosing) are modeled in this paper as continuous-time Markov jumps. Additionally, the stochastic parameter changes e.g., the line reactance, are influenced by the phase separation, which in turn depends on the stochastic wind speed. …”
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PENERAPAN JARINGAN SARAF TIRUAN UNTUK PERAMALAN by Adrian Michael Wibisono, Siana Halim

“…The result will be compared with GARCH(1,1) in the terms of Means Absolute Deviation (MAD) and Means Square Error (MSE). Besides that the accuracy and the power to damp the jump will be observed. …”
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Machine Learning-Based Estimation of Ground Reaction Forces and Knee Joint Kinetics from Inertial Sensors While Performing a Vertical Drop Jump by Serena Cerfoglio, Manuela Galli, Marco Tarabini, Filippo Bertozzi, Chiarella Sforza, Matteo Zago

“…In this paper, we developed a neural network-based approach for the estimation of the Ground Reaction Forces (GRFs) and the three-dimensional knee joint moments during the first landing phase of the Vertical Drop Jump. Data were simultaneously recorded from three commercial inertial units and an optoelectronic system during the execution of 112 jumps performed by 11 healthy participants. …”
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Combining Inertial Sensors and Machine Learning to Predict vGRF and Knee Biomechanics during a Double Limb Jump Landing Task by Courtney R. Chaaban, Nathaniel T. Berry, Cortney Armitano-Lago, Adam W. Kiefer, Michael J. Mazzoleni, Darin A. Padua

“…The purposes of this study were to (a) develop multi-sensor machine learning algorithms for predicting biomechanics and (b) quantify the accuracy of each algorithm. (2) Methods: 26 healthy young adults completed 8 trials of a double limb jump landing task. Peak vertical ground reaction force, peak knee flexion angle, peak knee extension moment, and peak sagittal knee power absorption were assessed using 3D motion capture and force plates. …”
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Effects of post-activation protocols based on slow tempo bodyweight squat and isometric activity on vertical jump height enhancement in trained males: a randomized controlled trial by Dawid Koźlenia, Jarosław Domaradzki

“…This study aimed to establish the effectiveness of slow tempo bodyweight squat combined with an isometric squat (ST-ISO), and an isometric squat alone (ISO), as a post-activation performance enhancement protocol (PAPE) for jump height improvement. The study sample consisted of 41 trained men aged 18–24. …”
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